Publications
383 peer-reviewed publications · 24,028+ citations · h-index 75 · i10-index 218
Citation Growth
Top 10 Most-Cited
2019 · Nature biotechnology 37 (9), 1038-1040, 2019
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
1,835 citations
2020 · Frontiers in pharmacology 11, 565644, 2020
Molecular sets (MOSES): a benchmarking platform for molecular generation models
940 citations
2016 · Molecular pharmaceutics 13 (5), 1445-1454, 2016
Applications of deep learning in biomedicine
921 citations
2016 · Molecular pharmaceutics 13 (7), 2524-2530, 2016
Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
767 citations
2017 · Molecular pharmaceutics 14 (9), 3098-3104, 2017
druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular properties in s…
696 citations
2023 · Cell 186 (18), 3758-3775, 2023
Biomarkers of aging for the identification and evaluation of longevity interventions
623 citations
2017 · Oncotarget 9 (5), 5665, 2017
Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healt…
608 citations
2013 · Ageing research reviews 12 (2), 661-684, 2013
The role of DNA damage and repair in aging through the prism of Koch-like criteria
551 citations
2016 · Oncotarget 8 (7), 10883, 2016
The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology
472 citations
2018 · Journal of chemical information and modeling 58 (6), 1194-1204, 2018
Reinforced Adversarial Neural Computer for de Novo Molecular Design
470 citations
Top 20 Most-Cited Since 2019
2019 · Nature biotechnology 37 (9), 1038-1040, 2019
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
1,835 citations
2020 · Frontiers in pharmacology 11, 565644, 2020
Molecular sets (MOSES): a benchmarking platform for molecular generation models
940 citations
2023 · Cell 186 (18), 3758-3775, 2023
Biomarkers of aging for the identification and evaluation of longevity interventions
623 citations
2023 · Chemical science 14 (6), 1443-1452, 2023
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
368 citations
2023 · Trends in pharmacological sciences 44 (9), 561-572, 2023
AI-powered therapeutic target discovery
364 citations
2025 · Nature Biotechnology 43 (1), 63-75, 2025
A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models
308 citations
2020 ·
Potential non-covalent SARS-CoV-2 3C-like protease inhibitors designed using generative deep learning approaches and reviewed by human medi…
284 citations
2020 · Iscience 23 (6), 2020
Human gut microbiome aging clock based on taxonomic profiling and deep learning
276 citations
2019 · Ageing research reviews 49, 49-66, 2019
Artificial intelligence for aging and longevity research: Recent advances and perspectives
276 citations
2023 · Journal of chemical information and modeling 63 (3), 695-701, 2023
Chemistry42: an AI-driven platform for molecular design and optimization
229 citations
2020 · Ageing research reviews 60, 101050, 2020
Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities
213 citations
2020 · Clinical Pharmacology & Therapeutics 107 (4), 780-785, 2020
Will artificial intelligence for drug discovery impact clinical pharmacology?
191 citations
2020 · ACS medicinal chemistry letters 11 (8), 1496-1505, 2020
The advent of generative chemistry
167 citations
2024 · Journal of chemical information and modeling 64 (10), 3961-3969, 2024
PandaOmics: an AI-driven platform for therapeutic target and biomarker discovery
154 citations
2021 · Aging and disease 12 (5), 1252, 2021
DeepMAge: a methylation aging clock developed with deep learning
150 citations
2022 · Oncoscience 9, 82, 2022
Rapamycin in the context of Pascal’s Wager: generative pre-trained transformer perspective
140 citations
2022 · Oncoscience 9, 82-84, 2022
Rapamycin in the context of Pascal's Wager: generative pre-trained transformer perspective.
125 citations
2023 · Drug Discovery Today 28 (8), 103675, 2023
Quantum computing for near-term applications in generative chemistry and drug discovery
124 citations
2023 · Journal of Chemical Information and Modeling 63 (11), 3307-3318, 2023
Exploring the advantages of quantum generative adversarial networks in generative chemistry
124 citations
All Publications
| Title | Authors | Venue | Year | Citations |
|---|---|---|---|---|
| Past, present and future perspectives on the science of aging | F Ambrosio, MN Artyomov, SN Austad, N Barzilai, JCI Be… | Nature Aging 6 (1), 6-22, 2026 | 2026 | 4 |
| From Prompt to Drug: Toward Pharmaceutical Superintelligence | A Zhavoronkov, D Gennert, J Shi | ACS Central Science, 2026 | 2026 | 3 |
| Advancing target discovery through disease-specific integration of multi-modal target identification models and comprehensive ben… | H Leung, C Duan, W Gou, J Chen, Y Xin, Z Zheng, V Naum… | Scientific Reports, 2026 | 2026 | 2 |
| MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery | M Kuznetsov, Z Miftahutdinov, R Shayakhmetov, M Mizera… | arXiv preprint arXiv:2603.03517, 2026 | 2026 | 1 |
| The multi-faceted landscape of TEAD inhibition: a 2017–2025 patent and literature review | VY Chen, J Wan, X Ding, F Ren, A Zhavoronkov | Bioorganic Chemistry, 109609, 2026 | 2026 | 1 |
| Drug Discovery with Quantum Machine Learning | A Pyrkov, A Aliper, D Bezrukov, A Zhavoronkov | Applied Artificial Intelligence for Drug Discovery: From Data-Driven… | 2026 | 1 |
| Target identification and assessment in the era of AI | FW Pun, D Podolskiy, E Izumchenko, A Mortlock, TI Opre… | Nature Reviews Drug Discovery, 1-19, 2026 | 2026 | 0 |
| Toward actionable interventions in human aging (12th ARDD meeting, 2025). | A Dekan, S Lore, YE Yoon, A Sjöholm, A Tyshkovskiy, A… | Aging 18 (1), 282-302, 2026 | 2026 | 0 |
| Cbl-b inhibition with ISM3830 restores innate and adaptive immunity and demonstrates antitumor activity against solid tumors in v… | Z Cao, F Meng, J Liu, Z Ning, J Yu, D Gennert, S Racha… | Cancer Research 86 (7_Supplement), 4561-4561, 2026 | 2026 | 0 |
| ISM7713, a novel oral pan-KRAS (ON/OFF) inhibitor, shows robust anti-tumor activity in solid tumors with KRAS alterations. | S Shi, D Shen, J Wu, T Liu, J Liu, Q Meng, Z Shi, S Ra… | Cancer Research 86 (7_Supplement), 425-425, 2026 | 2026 | 0 |
| ISM1745, an MTA-cooperative PRMT5 inhibitor for the treatment of MTAP-deleted cancer. | Y Yang, Z Cao, M Zhang, X Ding, H Lu, Q Zhao, X Lin, J… | Cancer Research 86 (7_Supplement), 7077-7077, 2026 | 2026 | 0 |
| ISM6210, a potent and selective CDK4 inhibitor for the treatment of HR+/HER2-breast cancer | Y Yang, Z Cao, Z Zhang, F Meng, J Liu, J Zheng, Z Shi,… | Cancer Research 86 (7_Supplement), 4562-4562, 2026 | 2026 | 0 |
| GLP-1 receptor agonists should be rigorously tested as longevity therapeutics | N Marino, M Fiore, A Zhavoronkov | Nature Health, 1-2, 2026 | 2026 | 0 |
| PCO26-270: Transcriptomic Profiling Reveals Inflammatory and Epithelial-Mesenchymal Transition Pathway Activation in Endoxifen-Re… | HL Remmel, S Hammer, JR Hawse, A Shneyderman, A Vevior… | Journal of the National Comprehensive Cancer Network 24 (3.5), 2026 | 2026 | 0 |
| Cover Feature: An Internal Sulfur–Lone Pair Interaction Enabled the Discovery of Potent and Sub‐Family Selective PKMYT1 Inhibitor… | Y Wang, C Wang, X Wang, T Liu, X Cai, M Zhang, A Alipe… | ChemMedChem 21 (6), e70275, 2026 | 2026 | 0 |
| An Internal Sulfur–Lone Pair Interaction Enabled the Discovery of Potent and Sub‐Family Selective PKMYT1 Inhibitors | Y Wang, C Wang, X Wang, T Liu, X Cai, M Zhang, A Alipe… | ChemMedChem 21 (6), e202501029, 2026 | 2026 | 0 |
| Upskilling in Healthy Longevity Medicine and Its Association With Physicians’ Implementation Intent and Self-Reported Clinical Co… | E Bischof, D Wilczok, JL Kirkland, B Wilaksono, CY Hua… | JMIR Medical Education 12, e83779, 2026 | 2026 | 0 |
| Molecular LEGION: incalculably large coverage of chemical space around the NLRP3 target | B Zagribelnyy, V Aladinskiy, N Bondarev, I Ilin, M Mal… | Scientific Data, 2026 | 2026 | 0 |
| Integrating AI and causal genetics to prioritize therapeutic targets for aging and age-related diseases | GHD Leung, J Chen, IA Ergun, E Izumchenko, A Aliper, F… | bioRxiv, 2026.02. 13.705676, 2026 | 2026 | 0 |
| Validation, and Indication Expansion | GHD Leung, FW Pun, V Naumov, D Gennert, P Kamya, A Ali… | Applied Artificial Intelligence for Drug Discovery: From Data-Driven… | 2026 | 0 |
| Polyploid cardiomyocytes define disease-specific transcriptional states in the mammalian heart | P Kiessling, M Joodaki, D Pikulska, E Scheidereit, G C… | bioRxiv, 2026.01. 31.701472, 2026 | 2026 | 0 |
| When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs | B Zagribelnyy, I Ilin, M Kuznetsov, N Bondarev, R Schu… | arXiv preprint arXiv:2602.03554, 2026 | 2026 | 0 |
| PRECLINICAL TOXICOLOGY EVALUATION OF ISM5411: 13-WEEK ORAL ADMINISTRATION IN RATS AND BEAGLE DOGS | X Lin, H Li, C Bantle, F Ren, C Satler, A Zhavoronkov | Gastroenterology 170 (3), S6-S7, 2026 | 2026 | 0 |
| ISM5411, A NOVEL GUT-RESTRICTED PHD1/2 INHIBITOR FOR INFLAMMATORY BOWEL DISEASE: A RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED,… | H Li, C Satler, H Zhao, Y Jiang, Y Lv, S Rao, F Ren, A… | Inflammatory Bowel Diseases 32 (Supplement_1), izag006. 021, 2026 | 2026 | 0 |
| ISM012-042 (ISM5411), A PHD1/2 INHIBITOR, PREVENTATIVELY AND THERAPEUTICALLY MITIGATES T CELL TRANSFER-INDUCED COLITIS IN MICE | Q Han, Y Fu, C Feng, H Li, M Zhang, F Ren, C Satler, A… | Inflammatory Bowel Diseases 32 (Supplement_1), izag006. 009, 2026 | 2026 | 0 |
| AlphaFold Kinase Optimizer: Enhancing Virtual Screening Performance Through Automated Refinement of AlphaFold‐Based Kinase Struct… | S Evteev, Y Ivanenkov, A Aiginin, M Kuznetsov, R Shaya… | Proteins: Structure, Function, and Bioinformatics 94 (2), 598-608, 20… | 2026 | 0 |
| Conformational restriction of hinge carboxamide leading to potent lactam-based PKMYT1 inhibitors | Y Wang, X Wang, C Wang, T Liu, X Cai, M Zhang, A Alipe… | Bioorganic & Medicinal Chemistry, 118582, 2026 | 2026 | 0 |
| Education to Practice-Upskilling in Healthy Longevity Medicine Results in Physicians' Implementation Intent and Self-Reported Cli… | E Bischof, D Wilczok, JL Kirkland, B Wilaksono, CY Hua… | JMIR Medical Education, 2026 | 2026 | 0 |
| LongevityBench: Are SotA LLMs ready for aging research? | A Zhavoronkov, D Sidorenko, V Naumov, S Pushkov, D Zag… | bioRxiv, 2026.01. 12.698650, 2026 | 2026 | 0 |
| Artificial Intelligence for Drug Target and Pathway Identification, Assessment, Validation, and Indication Expansion | GHD Leung, FW Pun, V Naumov, D Gennert, P Kamya, A Ali… | Applied Artificial Intelligence for Drug Discovery: From Data-Driven… | 2026 | 0 |
| The End of Aging Clocks: Training Foundation Models to Reason in Aging and Longevity | A Zhavoronkov, V Aladinskyi, A Aliper, Z Miftakhutdino… | bioRxiv, 2026.03. 28.714980, 2026 | 2026 | 0 |
| A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models | F Ren, A Aliper, J Chen, H Zhao, S Rao, C Kuppe, IV Oz… | Nature Biotechnology 43 (1), 63-75, 2025 | 2025 | 308 |
| A generative AI-discovered TNIK inhibitor for idiopathic pulmonary fibrosis: a randomized phase 2a trial | Z Xu, F Ren, P Wang, J Cao, C Tan, D Ma, L Zhao, J Dai… | Nature Medicine 31 (8), 2602-2610, 2025 | 2025 | 105 |
| Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors | M Ghazi Vakili, C Gorgulla, J Snider, AK Nigam, D Bezr… | Nature biotechnology 43 (12), 1954-1959, 2025 | 2025 | 103 |
| Intestinal mucosal barrier repair and immune regulation with an AI-developed gut-restricted PHD inhibitor | Y Fu, X Ding, M Zhang, C Feng, Z Yan, F Wang, J Xu, X… | Nature Biotechnology 43 (11), 1772-1777, 2025 | 2025 | 36 |
| Bindgpt: A scalable framework for 3d molecular design via language modeling and reinforcement learning | A Zholus, M Kuznetsov, R Schutski, R Shayakhmetov, D P… | Proceedings of the AAAI Conference on Artificial Intelligence 39 (24)… | 2025 | 33 |
| A novel, covalent broad-spectrum inhibitor targeting human coronavirus Mpro | J Sun, D Sun, Q Yang, D Wang, J Peng, H Guo, X Ding, Z… | Nature communications 16 (1), 4546, 2025 | 2025 | 23 |
| Oral ENPP1 inhibitor designed using generative AI as next generation STING modulator for solid tumors | C Pu, H Cui, H Yu, X Cheng, M Zhang, L Qin, Z Ning, W… | Nature communications 16 (1), 4793, 2025 | 2025 | 22 |
| Progress, pitfalls, and impact of AI‐driven clinical trials | D Wilczok, A Zhavoronkov | Clinical Pharmacology & Therapeutics 117 (4), 887-890, 2025 | 2025 | 19 |
| Utilizing AI for the identification and validation of novel therapeutic targets and repurposed drugs for endometriosis | BHM Liu, Y Lin, X Long, SW Hung, A Gaponova, F Ren, A… | Advanced Science 12 (5), 2406565, 2025 | 2025 | 17 |
| Dora ai scientist: Multi-agent virtual research team for scientific exploration discovery and automated report generation | V Naumov, D Zagirova, S Lin, Y Xie, W Gou, A Urban, N… | bioRxiv, 2025 | 2025 | 16 |
| Discovery of pyrrolopyrazine carboxamide derivatives as potent and selective FGFR2/3 inhibitors that overcome mutant resistance | Y Wang, Y Zhang, J Liu, J Zhao, C Wang, F Meng, X Cai,… | Journal of Medicinal Chemistry 68 (3), 3886-3899, 2025 | 2025 | 15 |
| AI-driven robotics laboratory identifies pharmacological TNIK inhibition as a potent senomorphic agent | Q Tang, D Xiao, A Veviorskiy, Y Xin, SWY Lok, FE Pulou… | Aging and Disease 17 (1), 432, 2025 | 2025 | 14 |
| LLMs and AI life models for traditional Chinese medicine-derived geroprotector formulation | F Galkin, F Ren, A Zhavoronkov | Aging and disease 17 (2), 1155, 2025 | 2025 | 13 |
| Discovery of a bifunctional PKMYT1-targeting PROTAC empowered by AI-generation | Y Wang, X Wang, T Liu, C Wang, Q Meng, F Meng, J Yu, J… | Nature Communications 16 (1), 10759, 2025 | 2025 | 12 |
| PRMT5 inhibition has a potent anti-tumor activity against adenoid cystic carcinoma of salivary glands | V Mishra, A Singh, M Korzinkin, X Cheng, C Wing, V Sar… | Journal of Experimental & Clinical Cancer Research 44 (1), 11, 2025 | 2025 | 12 |
| Discovery of novel SIK2/3 inhibitors for the potential treatment of MEF2C+ acute myeloid leukemia (AML) | W Zhu, P Zhao, T Liu, F Gao, Q Li, X Cai, M Zhang, A A… | Journal of medicinal chemistry 68 (7), 7518-7538, 2025 | 2025 | 11 |
| Design, synthesis, and biological evaluation of novel orally available covalent CDK12/13 dual inhibitors for the treatment of tum… | H Lu, D Sun, Z Wang, H Cui, L Min, H Zhang, Y Zhang, J… | Journal of Medicinal Chemistry 68 (4), 4148-4167, 2025 | 2025 | 11 |
| Discovery of pyrrolopyrimidinone derivatives as potent PKMYT1 inhibitors for the treatment of cancer | C Wang, Y Wang, F Meng, T Liu, X Wang, X Cai, M Zhang,… | European Journal of Medicinal Chemistry 281, 117025, 2025 | 2025 | 11 |
| Rational design and identification of ISM7594 as a tissue-agnostic FGFR2/3 inhibitor | Y Wang, J Liu, Y Zhang, J Zhao, C Wang, H Cui, F Meng,… | Journal of Medicinal Chemistry 68 (13), 13887-13906, 2025 | 2025 | 8 |
| Discovery of Potent, Highly Selective, and Orally Bioavailable MTA Cooperative PRMT5 Inhibitors with Robust In Vivo Antitumor Act… | M Zhang, X Ding, Z Cao, Y Yang, X Ding, X Cai, M Zhang… | Journal of Medicinal Chemistry 68 (2), 1940-1955, 2025 | 2025 | 7 |
| AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging | F Galkin, S Chen, A Aliper, A Zhavoronkov, F Ren | bioRxiv, 2025.01. 09.632065, 2025 | 2025 | 6 |
| Strategies for redesigning withdrawn drugs to enhance therapeutic efficacy and safety: A review | CN Patel, A Shakeel, R Mall, KM Alawi, IV Ozerov, A Zh… | Wiley Interdisciplinary Reviews: Computational Molecular Science 15 (… | 2025 | 6 |
| Identification of Novel Pan-KRAS Inhibitors via Structure-Based Drug Design, Scaffold Hopping, and Biological Evaluation | V Aladinskiy, AB Mantsyzov, C Kruse, A Noev, R Petrov,… | ACS Medicinal Chemistry Letters 16 (7), 1282-1289, 2025 | 2025 | 5 |
| AI-Driven drug target screening platform identified oncogene CACNA2D1 activated by enhancer infestation in epstein-barr virus-ass… | DLS Chung, GHD Leung, S Liu, SWY Lok, Y Xin, Y Xia, A… | International Journal of Molecular Sciences 26 (10), 4697, 2025 | 2025 | 4 |
| Ins018-055, a novel traf2-and nck-interacting kinase (tnik) inhibitor, improves lung function in patients with idiopathic pulmona… | Z Xu, P Wang, J Cao, C Tan, D Ma, L Zhao, TM Maher, A… | American Journal of Respiratory and Critical Care Medicine 211 (Suppl… | 2025 | 4 |
| Discovery of WEE1 Kinase Inhibitors with Potent Activity against Patient-Derived, Metastatic Colorectal Cancer Organoids | JL Syphers, JA Wright, S Liu, YS Gee, F Gao, R Mududud… | Journal of medicinal chemistry 68 (8), 8065-8090, 2025 | 2025 | 4 |
| Variability in radiotherapy outcomes across cancer types: A comparative study of glioblastoma multiforme and low-grade gliomas | A Veviorskiy, GV Mkrtchyan, AN Osipov, E Izumchenko, I… | Aging (Albany NY) 17 (2), 550, 2025 | 2025 | 4 |
| Enhancing drug discovery: Quantum machine learning for qsar prediction with incomplete data | WY Chiang, PY Kao, TL Yeh, YC Yang, YC Lin, A Zhavoron… | arXiv preprint arXiv:2501.13395, 2025 | 2025 | 4 |
| Age-related diseases as a testbed for anti-aging therapeutics: the case of idiopathic pulmonary fibrosis | A Zhavoronkov, D Wilczok, F Ren, F Galkin | Aging (Albany NY) 17 (8), 1911, 2025 | 2025 | 3 |
| From clock to clock: therapeutic target discovery for aging and age-related diseases | J Chen, GHD Leung, H Leung, A Ustiugova, A Shneyderman… | Ageing Research Reviews, 102871, 2025 | 2025 | 3 |
| Modelling sex differences of neurological disorders in vitro | L Castro-Aldrete, M Einsiedler, C Cuní-López, Q Vanhae… | Nature Reviews Bioengineering, 1-22, 2025 | 2025 | 2 |
| Biomarker analysis reveals antifibrotic and anti-inflammatory signatures in idiopathic pulmonary fibrosis patients treated with I… | Z Xu, P Wang, J Cao, C Tan, D Ma, L Zhao, TM Maher, A… | American Journal of Respiratory and Critical Care Medicine 211 (Abstr… | 2025 | 2 |
| Design, Synthesis and Biological Evaluation of Novel, Potent, Selective and Orally Available DGKα Inhibitors for the Treatment of… | H Lu, S Shi, H Yu, D Sun, H Zhang, H Cui, X Cai, X Din… | Journal of Medicinal Chemistry 68 (23), 25011-25025, 2025 | 2025 | 1 |
| Traf2-and Nck-interacting kinase inhibitors: a patent review (2008–2024) | L Qin, V Aladinskiy, D Gennert, X Cheng, J Liu, T Liu,… | Expert Opinion on Therapeutic Patents 35 (10), 1051-1061, 2025 | 2025 | 1 |
| Discovery of Novel, Potent, Selective, and Orally Available DGKα Inhibitors for the Treatment of Tumors | H Lu, D Sun, H Zhang, S Shi, H Yu, H Cui, X Cai, X Din… | Journal of Medicinal Chemistry 68 (18), 19645-19660, 2025 | 2025 | 1 |
| Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields | SC Li, PH Wang, JW Su, WY Chiang, TL Yeh, A Zhavoronko… | Journal of Cheminformatics 17 (1), 105, 2025 | 2025 | 1 |
| Clinical trials reimagined: Integrating community engagement and artificial intelligence | IS Mackenzie, LPC Brewer, A Zhavoronkov | Med 6 (6), 2025 | 2025 | 1 |
| A Standardized Protocol for Mouse Longevity Studies in Preclinical Drug Development | A Zhavoronkov, Q Wang, Y Liu, W Hou, Y Shen, D Wilczok… | Aging and Disease 17 (3), 1169, 2025 | 2025 | 1 |
| Discovery of Novel Inhibitors for WD Repeat‐Containing Protein 5 (WDR5)‐MYC Protein–Protein Interaction | W Sun, H Yu, J Ye, L Qin, L Wang, H Yan, Z Zhang, A Al… | Chemical Biology & Drug Design 105 (5), e70129, 2025 | 2025 | 1 |
| Innovations in aging biology: highlights from the ARDD emerging science & technologies workshop | M Unfried, T Schmauck-Medina, ND Amin, ES Boyden, G Fu… | npj Aging 11 (1), 8, 2025 | 2025 | 1 |
| Generative Drug Discovery | Q Vanhaelen, A Aliper, A Zhavoronkov | An Introduction to Generative Drug Discovery, 21-42, 2025 | 2025 | 1 |
| Engineering the Future of Longevity R&D: The Case for AI-Driven, Integrated Biotechnology Ecosystems | A Zhavoronkov, CY Leung | Aging and disease, 2025 | 2025 | 1 |
| Delphi-derived Framework for Healthspan-Oriented Care: The Cardiometabolic Health Perspective | M Postula, S Kistkins, A Nowak-Szwed, S De Rosa, K Kam… | 2025 | 0 | |
| AI-aided identification of dual-purpose therapeutic targets PRPF19 and MAPK9 in hepatocellular carcinoma and cellular senescence | C Ren, GHD Leung, Q Tang, P Zhang, Y Ma, Y Xin, SWY Lo… | npj Aging 11 (1), 101, 2025 | 2025 | 0 |
| Recent advance in macrocyclic CDK inhibitors | J Zheng, Z Zhang, J Liu, R Shi, F Ren, A Zhavoronkov,… | Future Medicinal Chemistry 17 (24), 3057-3070, 2025 | 2025 | 0 |
| Peakspan: Defining, Quantifying and Extending the Boundaries of Peak Productive Lifespan | A Zhavoronkov, D Wilczok | arXiv preprint arXiv:2512.05208, 2025 | 2025 | 0 |
| Uncovering the transcriptomic basis of endoxifen resistance in ER+ breast cancer cells: Insights from bioinformatics analysis | HL Remmel, SS Hammer, JR Hawse, A Shneyderman, A Vevio… | Cancer Treatment and Research Communications, 101044, 2025 | 2025 | 0 |
| Comparison of the baseline clinical and HRCT characteristics of Insilico’s ISM001_055 phase 2a trial cohort in China with real-wo… | KR Kirov, E Bussell, R Keegan, M Thillai, Z Xu, P Wang… | European Respiratory Journal 66 (suppl 69), 2025 | 2025 | 0 |
| Rentosertib, a generative AI-discovered TNIK inhibitor improves lung function in IPF patients | Z Xu, P Wang, J Cao, C Tan, D Ma, L Zhao, T Maher, A Z… | European Respiratory Journal 66 (suppl 69), 2025 | 2025 | 0 |
| Discovery and Biological Evaluation of Novel, Potent, and Orally Available CBLB Inhibitors | F Meng, Z Cao, J Liu, Y Wang, Z Ning, J Yu, Y Fan, S C… | Journal of Medicinal Chemistry 68 (22), 24502-24518, 2025 | 2025 | 0 |
| Oxidation Resistance in Porous Polymers: a Computational Approach to Predicting Degradation via Hydrogen Abstraction | D Bezrukov, D Tupitsyn, G Ozerov, I Alekseev, A Alahme… | MECC 2025, 1-13, 2025 | 2025 | 0 |
| Evaluation of (Z)-endoxifen as a potential therapy for glioblastoma multiforme through computational and experimental analyses | A Shneyderman, SS Hammer, HL Remmel, A Veviorskiy, KM… | Scientific Reports 15 (1), 38225, 2025 | 2025 | 0 |
| The Right to Be Remembered: Preserving Maximally Truthful Digital Memory in the Age of AI | A Zhavoronkov, D Wilczok, R Yampolskiy | arXiv preprint arXiv:2510.16206, 2025 | 2025 | 0 |
| GENESIS-IPF: PHASE 2A COHORT CHARACTERISTICS AND LUNG IMAGING INDICATE CORRELATES OF RESPONSE TO ISM001-055 (RENTOSERTIB) IN PATI… | ZJ Xu, P Wang, A Craster, E Bussel, KR Kirov, R Keegan… | CHEST 168 (4), A3670-A3671, 2025 | 2025 | 0 |
| Engineering the Future of R&D: The Case for AI-Driven, Integrated Biotechnology Ecosystems | A Zhavoronkov, CY Leung | arXiv preprint arXiv:2509.21390, 2025 | 2025 | 0 |
| Organization of the Proteostasis Network of Membraneless Organelles | CM Lim, Y Bian, A González Díaz, F Pun, A Zhavoronkov,… | Advanced Science 12 (33), e00233, 2025 | 2025 | 0 |
| Molecular LEGION: Latent Enumeration, Generation, Integration, Optimization and Navigation. A case study of incalculably large ch… | B Zagribelnyy, V Aladinskiy, N Bondarev, I Ilin, M Mal… | ChemRxiv 2025 (0807), 2025 | 2025 | 0 |
| Abstract P4-05-22: Discovery of Molecules Synergistic with (Z)-endoxifen for the Treatment of Breast Cancer | D Hühn, M Häggblad, A Shneyderman, A Veviorskiy, K Ala… | Clinical Cancer Research 31 (12_Supplement), P4-05-22-P4-05-22, 2025 | 2025 | 0 |
| Towards Al-driven longevity | N Marino¹, G Putignano¹t, S Cappilli, A Zhavoronkov, B… | Insights in Aging Interventions: 2022, 24, 2025 | 2025 | 0 |
| Generative Drug Discovery | AZ Quentin Vanhaelen, Alex Aliper | An Introduction to Generative Drug Discovery, 2025 | 2025 | 0 |
| Validation of biomarkers of aging | M Moqri, C Herzog, JR Poganik, K Ying, JN Justice, DW… | Nature medicine 30 (2), 360-372, 2024 | 2024 | 302 |
| PandaOmics: an AI-driven platform for therapeutic target and biomarker discovery | P Kamya, IV Ozerov, FW Pun, K Tretina, T Fokina, S Che… | Journal of chemical information and modeling 64 (10), 3961-3969, 2024 | 2024 | 154 |
| Challenges and recommendations for the translation of biomarkers of aging | Biomarkers of Aging Consortium, CMS Herzog, LJE Goemin… | Nature Aging 4 (10), 1372-1383, 2024 | 2024 | 82 |
| nach0: multimodal natural and chemical languages foundation model | M Livne, Z Miftahutdinov, E Tutubalina, M Kuznetsov, D… | Chemical Science 15 (22), 8380-8389, 2024 | 2024 | 76 |
| Disagreement on foundational principles of biological aging | VN Gladyshev, B Anderson, H Barlit, B Barré, S Beck, B… | PNAS nexus 3 (12), pgae499, 2024 | 2024 | 63 |
| Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity | YX Lyu, Q Fu, D Wilczok, K Ying, A King, A Antebi, A V… | Aging (Albany NY) 16 (20), 12955, 2024 | 2024 | 55 |
| TNIK’s emerging role in cancer, metabolism, and age-related diseases | CY Ewald, FE Pulous, SWY Lok, FW Pun, A Aliper, F Ren,… | Trends in pharmacological sciences 45 (6), 478-489, 2024 | 2024 | 27 |
| Precious2GPT: the combination of multiomics pretrained transformer and conditional diffusion for artificial multi-omics multi-spe… | D Sidorenko, S Pushkov, A Sakip, GHD Leung, SWY Lok, A… | npj Aging 10 (1), 37, 2024 | 2024 | 25 |
| Discovery of pyridine-2-carboxamides derivatives as potent and selective HPK1 inhibitors for the treatment of cancer | J Peng, X Ding, CX Chen, P Zhao, X Ding, M Zhang, A Al… | Journal of Medicinal Chemistry 67 (23), 21520-21544, 2024 | 2024 | 24 |
| Complexity of life sciences in quantum and AI era | A Pyrkov, A Aliper, D Bezrukov, D Podolskiy, F Ren, A… | Wiley Interdisciplinary Reviews: Computational Molecular Science 14 (… | 2024 | 22 |
| Discovery of 3-hydroxymethyl-azetidine derivatives as potent polymerase theta inhibitors | Y Wang, C Wang, J Liu, D Sun, F Meng, M Zhang, A Alipe… | Bioorganic & medicinal chemistry 103, 117662, 2024 | 2024 | 19 |
| Acquired resistance to immunotherapy and chemoradiation in MYC amplified head and neck cancer | TF Cyberski, A Singh, M Korzinkin, V Mishra, F Pun, L… | npj Precision Oncology 8 (1), 114, 2024 | 2024 | 18 |
| Psychogenic aging: a novel prospect to integrate psychobiological hallmarks of aging | M Faria, A Ganz, F Galkin, A Zhavoronkov, M Snyder | Translational Psychiatry 14 (1), 226, 2024 | 2024 | 17 |
| MAT2A inhibition combats metabolic and transcriptional reprogramming in cancer | FE Pulous, B Steurer, FW Pun, M Zhang, F Ren, A Zhavor… | Drug Discovery Today 29 (11), 104189, 2024 | 2024 | 16 |
| Multimodal transformers and their applications in drug target discovery for aging and age-related diseases | B Steurer, Q Vanhaelen, A Zhavoronkov | The Journals of Gerontology, Series A: Biological Sciences and Medica… | 2024 | 16 |
| Precious3GPT: multimodal multi-species multi-omics multi-tissue transformer for aging research and drug discovery | F Galkin, V Naumov, S Pushkov, D Sidorenko, A Urban, D… | bioRxiv, 2024.07. 25.605062, 2024 | 2024 | 16 |
| Skinly: A novel handheld IoT device for validating biophysical skin characteristics | MPB Tobar, S Clemann, R Hagens, S Pagel‐Wolff, S Hoppe… | Skin Research and Technology 30 (3), e13613, 2024 | 2024 | 15 |
| AttenhERG: a reliable and interpretable graph neural network framework for predicting hERG channel blockers | T Yang, X Ding, E McMichael, FW Pun, A Aliper, F Ren,… | Journal of Cheminformatics 16 (1), 143, 2024 | 2024 | 14 |
| Discovery of Bis-imidazolecarboxamide derivatives as novel, potent, and selective TNIK inhibitors for the treatment of idiopathic… | V Aladinskiy, C Kruse, L Qin, E Babin, Y Fan, G Andree… | Journal of Medicinal Chemistry 67 (21), 19121-19142, 2024 | 2024 | 14 |
| Discovery of a novel and potent cyclin-dependent kinase 8/19 (CDK8/19) inhibitor for the treatment of cancer | J Xu, H Qi, Z Wang, L Wang, B Steurer, X Cai, J Liu, A… | Journal of Medicinal Chemistry 67 (10), 8161-8171, 2024 | 2024 | 13 |
| Discovery of 1 (2H)-phthalazinone and 1 (2H)-isoquinolinone derivatives as potent hematopoietic progenitor kinase 1 (HPK1) inhibi… | J Peng, X Ding, PY Shih, Q Meng, X Ding, M Zhang, A Al… | European Journal of Medicinal Chemistry 279, 116877, 2024 | 2024 | 12 |
| Roles of hypoxia-inducible factor-prolyl hydroxylases in aging and disease | F Galkin, FE Pulous, Y Fu, M Zhang, FW Pun, F Ren, A Z… | Ageing Research Reviews 102, 102551, 2024 | 2024 | 12 |
| ISM6331, a novel and potent pan-TEAD inhibitor, exhibits strong anti-tumor activity in preclinical models of Hippo pathway-dysreg… | Q Li, J Wan, J Liu, J Shang, J Yu, W Zhu, CXJ Chen, J… | Cancer Research 84 (6_Supplement), 1656-1656, 2024 | 2024 | 12 |
| Discovery of novel and potent prolyl hydroxylase domain-containing protein (PHD) inhibitors for the treatment of anemia | J Xu, X Ding, Y Fu, Q Meng, L Wang, M Zhang, C Xu, S C… | Journal of Medicinal Chemistry 67 (2), 1393-1405, 2024 | 2024 | 12 |
| Design, synthesis, and biological evaluation of a series of spiro analogues as novel HPK1 inhibitors | J Peng, X Ding, CXJ Chen, PY Shih, Q Meng, X Ding, M Z… | ACS Medicinal Chemistry Letters 15 (11), 2032-2041, 2024 | 2024 | 11 |
| Discovery of macrocyclic CDK2/4/6 inhibitors with improved potency and DMPK properties through a highly efficient macrocyclic dru… | F Meng, J Liu, Z Cao, J Yu, B Steurer, Y Yang, Y Wang,… | Bioorganic Chemistry 146, 107285, 2024 | 2024 | 10 |
| Discovery of a novel macrocyclic noncovalent CDK7 inhibitor for cancer therapy | H Lu, Y Zhang, J Liu, T Jiang, X Yu, H Zhang, T Liang,… | Journal of Medicinal Chemistry 67 (22), 20580-20594, 2024 | 2024 | 9 |
| Leveraging AI to identify dual-purpose aging and disease targets | GHD Leung, CW Wong, FW Pun, A Aliper, F Ren, A Zhavoro… | Expert Opinion on Therapeutic Targets 28 (6), 473-476, 2024 | 2024 | 9 |
| Defining the progeria phenome | C Worm, MER Schambye, GV Mkrtchyan, A Veviorskiy, A Sh… | Aging (Albany NY) 16 (3), 2026, 2024 | 2024 | 8 |
| Comparative analysis of endoxifen, tamoxifen and fulvestrant: A bioinformatics approach to uncover mechanisms of action in breast… | HL Remmel, SS Hammer, H Singh, A Shneyderman, A Vevior… | bioRxiv, 2024.10. 02.616224, 2024 | 2024 | 7 |
| Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geria… | L Guan, CSL Tuttle, F Galkin, A Zhavoronkov, AB Maier | Experimental Gerontology 190, 112421, 2024 | 2024 | 7 |
| Synthesis and structure-activity optimization of azepane-containing derivatives as PTPN2/PTPN1 inhibitors | J Zheng, Z Zhang, X Ding, D Sun, L Min, F Wang, S Shi,… | European Journal of Medicinal Chemistry 270, 116390, 2024 | 2024 | 7 |
| Quantum-assisted fragment-based automated structure generator (QFASG) for small molecule design: an in vitro study | S Evteev, Y Ivanenkov, I Semenov, M Malkov, O Mazaleva… | Frontiers in Chemistry 12, 1382512, 2024 | 2024 | 7 |
| AI-enabled cancer target prioritization with optimal profiles balancing novelty, confidence and commercial tractability | X Long, B Steurer, CW Wong, E Kozlova, V Naumov, FW Pu… | Future Medicine AI 2 (1), 2024 | 2024 | 6 |
| Discovery of novel MAT2A inhibitors by an allosteric site-compatible fragment growing approach | F Gao, X Ding, Z Cao, W Zhu, Y Fan, B Steurer, H Wang,… | Bioorganic & Medicinal Chemistry 100, 117633, 2024 | 2024 | 6 |
| Is Generative AI in Drug Discovery Overhyped? Insights from 10 years of deep learning in drug discovery at Insilico Medicine | A Zhavoronkov | Genetic Engineering & Biotechnology News 44 (8), 28-33, 2024 | 2024 | 4 |
| Designing a multi-serotype Dengue virus vaccine: an in silico approach to broad-spectrum immunity | A Singh, O Glushchenko, A Ustiugova, KM Alawi, M Korzi… | bioRxiv, 2024.12. 02.626364, 2024 | 2024 | 2 |
| ISM9682A, a novel and potent KIF18A inhibitor, shows robust antitumor effects against chromosomally unstable cancers | J Zhang, F Gao, W Zhu, C Xu, X Ding, J Shang, J Qiao,… | Cancer Research 84 (6_Supplement), 5727-5727, 2024 | 2024 | 2 |
| Discovery and preclinical characterization of ISM9342A, a novel, potent, and orally bioavailable WRN inhibitor that suppresses MS… | P Zhao, W Zhu, X Ding, J Wan, X Chen, M Zhang, X Ding,… | Cancer Research 84 (6_Supplement), 412-412, 2024 | 2024 | 1 |
| Discovery and preclinical characterization of ISM8001, a covalent and selective FGFR2/FGFR3 dual inhibitor with strong monotherap… | Y Zhang, Y Wang, X Cai, J Liu, H Cui, J Qiao, X Lin, X… | Cancer Research 84 (6_Supplement), 5582-5582, 2024 | 2024 | 1 |
| ISM9182A, a novel HPK1 inhibitor, exhibits immune modulatory activity and robust monotherapy anti-tumor effects in preclinical st… | CXJ Chen, C Pu, J Peng, X Ding, H Lu, X Ding, M Zhang,… | Cancer Research 84 (6_Supplement), 3967-3967, 2024 | 2024 | 0 |
| F. REN, A. ALIPER, J. CHEN, H. ZHAO, S. RAO, C. KUPPE, IV OZEROV, M. ZHANG, K. WITTE, C. KRUSE, V. ALADINSKIY, Y. IVANENKOV, D. P… | A ZHAVORONKOV | J. Am. Chem. Soc 146, 11866-11875, 2024 | 2024 | 0 |
| The use of computational biology in protein engineering and drug discovery | G Putignano, N Marino, E Bischof, A Zhavoronkov, Q Van… | Innovating Health Against Future Pandemics, 15-33, 2024 | 2024 | 0 |
| Biomarkers of aging for the identification and evaluation of longevity interventions | M Moqri, C Herzog, JR Poganik, J Justice, DW Belsky, A… | Cell 186 (18), 3758-3775, 2023 | 2023 | 623 |
| AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibit… | F Ren, X Ding, M Zheng, M Korzinkin, X Cai, W Zhu, A M… | Chemical science 14 (6), 1443-1452, 2023 | 2023 | 368 |
| AI-powered therapeutic target discovery | FW Pun, IV Ozerov, A Zhavoronkov | Trends in pharmacological sciences 44 (9), 561-572, 2023 | 2023 | 364 |
| Chemistry42: an AI-driven platform for molecular design and optimization | YA Ivanenkov, D Polykovskiy, D Bezrukov, B Zagribelnyy… | Journal of chemical information and modeling 63 (3), 695-701, 2023 | 2023 | 229 |
| Quantum computing for near-term applications in generative chemistry and drug discovery | A Pyrkov, A Aliper, D Bezrukov, YC Lin, D Polykovskiy,… | Drug Discovery Today 28 (8), 103675, 2023 | 2023 | 124 |
| Exploring the advantages of quantum generative adversarial networks in generative chemistry | PY Kao, YC Yang, WY Chiang, JY Hsiao, Y Cao, A Aliper,… | Journal of Chemical Information and Modeling 63 (11), 3307-3318, 2023 | 2023 | 124 |
| Stress, diet, exercise: common environmental factors and their impact on epigenetic age | F Galkin, O Kovalchuk, D Koldasbayeva, A Zhavoronkov,… | Ageing Research Reviews 88, 101956, 2023 | 2023 | 104 |
| Prediction of clinical trials outcomes based on target choice and clinical trial design with multi‐modal artificial intelligence | A Aliper, R Kudrin, D Polykovskiy, P Kamya, E Tutubali… | Clinical Pharmacology & Therapeutics 114 (5), 972-980, 2023 | 2023 | 102 |
| Caution with AI-generated content in biomedicine | A Zhavoronkov | Nat Med 29 (3), 532, 2023 | 2023 | 51 |
| The hitchhiker’s guide to deep learning driven generative chemistry | Y Ivanenkov, B Zagribelnyy, A Malyshev, S Evteev, V Te… | ACS Medicinal Chemistry Letters 14 (7), 901-915, 2023 | 2023 | 50 |
| A comprehensive AI‐driven analysis of large‐scale omic datasets reveals novel dual‐purpose targets for the treatment of cancer an… | FW Pun, GHD Leung, HW Leung, J Rice, T Schmauck‐Medina… | Aging Cell 22 (12), e14017, 2023 | 2023 | 46 |
| Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for agin… | A Urban, D Sidorenko, D Zagirova, E Kozlova, A Kalashn… | Aging (Albany NY) 15 (11), 4649, 2023 | 2023 | 35 |
| Towards AI-driven longevity research: an overview | N Marino, G Putignano, S Cappilli, E Chersoni, A Santu… | Frontiers in aging 4, 1057204, 2023 | 2023 | 35 |
| Multiomic prediction of therapeutic targets for human diseases associated with protein phase separation | CM Lim, A González Díaz, M Fuxreiter, FW Pun, A Zhavor… | Proceedings of the National Academy of Sciences 120 (40), e2300215120… | 2023 | 30 |
| Biomedical generative pre-trained based transformer language model for age-related disease target discovery | D Zagirova, S Pushkov, GHD Leung, BHM Liu, A Urban, D… | Aging (Albany NY) 15 (18), 9293, 2023 | 2023 | 30 |
| Discovery of potent, selective, and orally bioavailable small-molecule inhibitors of CDK8 for the treatment of cancer | Y Li, Y Liu, J Wu, X Liu, L Wang, J Wang, J Yu, H Qi,… | Journal of Medicinal Chemistry 66 (8), 5439-5452, 2023 | 2023 | 30 |
| ClockBase: a comprehensive platform for biological age profiling in human and mouse | K Ying, A Tyshkovskiy, A Trapp, H Liu, M Moqri, C Kere… | bioRxiv 2023, 530532, 2023 | 2023 | 26 |
| Discovery of tetrahydropyrazolopyrazine derivatives as potent and selective MYT1 inhibitors for the treatment of cancer | Y Wang, C Wang, T Liu, H Qi, S Chen, X Cai, M Zhang, A… | Journal of Medicinal Chemistry 67 (1), 420-432, 2023 | 2023 | 25 |
| Discovery of novel and selective SIK2 inhibitors by the application of AlphaFold structures and generative models | W Zhu, X Liu, Q Li, F Gao, T Liu, X Chen, M Zhang, A A… | Bioorganic & Medicinal Chemistry 91, 117414, 2023 | 2023 | 24 |
| Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics-an AI-enabled… | A Olsen, Z Harpaz, C Ren, A Shneyderman, A Veviorskiy,… | Aging (Albany NY) 15 (8), 2863, 2023 | 2023 | 21 |
| Defining a longevity biotechnology company | N Boekstein, N Barzilai, A Bertram, J Betts-LaCroix, K… | nature biotechnology 41 (8), 1053-1055, 2023 | 2023 | 13 |
| Artificial Intelligence for Healthy Longevity | A Moskalev, I Stambler, A Zhavoronkov | Springer International Publishing, 2023 | 2023 | 11 |
| ISM3091, a novel selective USP1 inhibitor as a targeted anticancer therapy | Y Li, J Wu, J Liu, L Qin, X Cai, J Qiao, L Wang, S Rao… | Cancer Research 83 (7_Supplement), 502-502, 2023 | 2023 | 11 |
| AI in Longevity | F Galkin, A Zhavoronkov | Artificial Intelligence for Healthy Longevity, 3-13, 2023 | 2023 | 6 |
| 873 ISM5939, a novel, potent, orally available, selective ENPP1 inhibitor enhances the anti-tumor effects of immune checkpoint in… | C Chen, J Liu, J Wu, X Cheng, L Qin, S Bavadekar, M Zh… | Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | 2023 | 3 |
| 人工智能在药物靶点的筛选及验证方面的应用进展 | 王超， 肖辅， 李妙竹， 潘颖， 丁晓， 任峰， 王亚洲 | 中国药科大学学报 54 (3), 269-281, 2023 | 2023 | 2 |
| PRT543, a methyl transferase inhibitor, has potent anti-tumor activity against adenoid cystic carcinoma of salivary glands | V Mishra, A Singh, X Chen, M Korzinkin, C Wing, V Sark… | Cancer Research 83 (7_Supplement), 4897-4897, 2023 | 2023 | 2 |
| # 296: Identification and Validation of Two Novel Therapeutic Targets for Endometriosis with Artificial Intelligence (AI) | CC Wang, FW Pun, BHM Liu, Y Lin, F Ren, A Zhavoronkov | Fertility & Reproduction 5 (04), 645-645, 2023 | 2023 | 1 |
| Targeting DGKA for immuno-oncology therapy: ISM4312A, a novel DGKA inhibitor with robust anti-tumor activity | D Sun, H Lu, H Yu, F Wang, M Korzinkin, X Cai, X Ding,… | Cancer Research 83 (7_Supplement), 1855-1855, 2023 | 2023 | 1 |
| ISM3412, a novel and selective MAT2A inhibitor for the treatment of cancer | Q Meng, X Ding, X Liu, H Wang, L Wang, J Qiao, H Cao,… | Cancer Research 83 (7_Supplement), 503-503, 2023 | 2023 | 1 |
| Discovery and evaluation of ISM6466A, a novel covalent CDK12 inhibitor for the treatment of cancer | L Min, H Lu, Y Zhang, J Wu, X Cai, M Zheng, H Cui, J Q… | Cancer Research 83 (7_Supplement), 4989-4989, 2023 | 2023 | 1 |
| Multimodal ai engine for clinical trials outcome prediction: Prospective case study 2023-2025 | R Kudrin, I Bushmakin, O Novitskaia, E Tutubalina, A A… | 2023 | 1 | |
| Rapamycin in the context of Pascal’s Wager: generative pre-trained transformer perspective | CGP Transformer, A Zhavoronkov | Oncoscience 9, 82, 2022 | 2022 | 140 |
| Rapamycin in the context of Pascal's Wager: generative pre-trained transformer perspective. | A Zhavoronkov | Oncoscience 9, 82-84, 2022 | 2022 | 125 |
| Identification of therapeutic targets for amyotrophic lateral sclerosis using PandaOmics–an AI-enabled biological target discover… | FW Pun, BHM Liu, X Long, HW Leung, GHD Leung, QT Mewbo… | Frontiers in aging neuroscience 14, 914017, 2022 | 2022 | 121 |
| Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine | FW Pun, GHD Leung, HW Leung, BHM Liu, X Long, IV Ozero… | Aging (Albany NY) 14 (6), 2475, 2022 | 2022 | 100 |
| A nanoengineered topical transmucosal cisplatin delivery system induces anti-tumor response in animal models and patients with or… | M Goldberg, A Manzi, A Birdi, B Laporte, P Conway, S C… | Nature communications 13 (1), 4829, 2022 | 2022 | 71 |
| Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults | F Galkin, K Kochetov, D Koldasbayeva, M Faria, HH Fung… | Aging (Albany NY) 14 (18), 7206, 2022 | 2022 | 67 |
| Application of liquid biopsy as multi-functional biomarkers in head and neck cancer | V Mishra, A Singh, X Chen, AJ Rosenberg, AT Pearson, A… | British journal of cancer 126 (3), 361-370, 2022 | 2022 | 55 |
| Longevity foundation: perspective on decentralized autonomous organization for special-purpose financing | E Bischof, A Botezatu, S Jakimov, I Suharenko, A Ostro… | Ieee Access 10, 33048-33058, 2022 | 2022 | 35 |
| High-confidence cancer patient stratification through multiomics investigation of DNA repair disorders | GV Mkrtchyan, A Veviorskiy, E Izumchenko, A Shneyderma… | Cell Death & Disease 13 (11), 999, 2022 | 2022 | 25 |
| Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emoti… | F Galkin, K Kochetov, M Keller, A Zhavoronkov, N Etcoff | Aging (Albany NY) 14 (12), 4935, 2022 | 2022 | 19 |
| Advanced pathological ageing should be represented in the ICD | E Bischof, AB Maier, KF Lee, A Zhavoronkov, D Sinclair | The Lancet Healthy Longevity 3 (1), e12, 2022 | 2022 | 8 |
| Meeting report: Aging research and drug discovery | E Meron, M Thaysen, S Angeli, A Antebi, N Barzilai, JA… | Aging (Albany NY) 14 (2), 530, 2022 | 2022 | 7 |
| Author Correction: A nanoengineered topical transmucosal cisplatin delivery system induces anti-tumor response in animal models a… | M Goldberg, A Manzi, A Birdi, B Laporte, P Conway, S C… | nature communications 13, 7865, 2022 | 2022 | 2 |
| DeepMAge: a methylation aging clock developed with deep learning | F Galkin, P Mamoshina, K Kochetov, D Sidorenko, A Zhav… | Aging and disease 12 (5), 1252, 2021 | 2021 | 150 |
| Artificial intelligence in longevity medicine | A Zhavoronkov, E Bischof, KF Lee | Nature Aging 1 (1), 5-7, 2021 | 2021 | 72 |
| The potential of rapalogs to enhance resilience against SARS-CoV-2 infection and reduce the severity of COVID-19 | E Bischof, RC Siow, A Zhavoronkov, M Kaeberlein | The Lancet Healthy longevity 2 (2), e105-e111, 2021 | 2021 | 49 |
| Effector T cell responses unleashed by regulatory T cell ablation exacerbate oral squamous cell carcinoma | JL Chao, M Korzinkin, A Zhavoronkov, IV Ozerov, MT Wal… | Cell Reports Medicine 2 (9), 2021 | 2021 | 27 |
| Doublecortin-like kinase 1 (DCLK1) is a novel NOTCH pathway signaling regulator in head and neck squamous cell carcinoma | EC Broner, JA Trujillo, M Korzinkin, T Subbannayya, N… | Frontiers in Oncology 11, 677051, 2021 | 2021 | 27 |
| Fetal mitochondrial DNA in maternal plasma in surrogate pregnancies: Detection and topology | MJL Ma, S Yakovenko, H Zhang, SH Cheng, V Apryshko, A… | Prenatal Diagnosis 41 (3), 368-375, 2021 | 2021 | 22 |
| Evaluation of the geroprotective effects of withaferin A in Drosophila melanogaster | L Koval, N Zemskaya, A Aliper, A Zhavoronkov, A Moskal… | Aging (Albany NY) 13 (2), 1817, 2021 | 2021 | 19 |
| Increased pace of aging in COVID-related mortality | F Galkin, A Parish, E Bischof, J Zhang, P Mamoshina, A… | Life 11 (8), 730, 2021 | 2021 | 15 |
| COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity | V Naumov, E Lane, S Pushkov, E Kozlova, K Romantsov, A… | PLoS computational biology 17 (7), e1009183, 2021 | 2021 | 11 |
| Adapting blood DNA methylation aging clocks for use in saliva samples with cell-type deconvolution | F Galkin, K Kochetov, P Mamoshina, A Zhavoronkov | Frontiers in Aging 2, 697254, 2021 | 2021 | 9 |
| AI in Longevity Medicine | D Radenkovic, A Zhavoronkov, E Bischof | Artificial Intelligence in Medicine, 1-13, 2021 | 2021 | 7 |
| Chemistry42: An AI-based platform for de novo molecular design | YA Ivanenkov, A Zhebrak, D Bezrukov, B Zagribelnyy, V… | arXiv preprint arXiv:2101.09050, 2021 | 2021 | 7 |
| Artificial intelligence for drug discovery and development | J Pei, A Zhavoronkov | Frontiers Media SA, 2021 | 2021 | 5 |
| Correction: Targeting focal adhesion kinase overcomes erlotinib resistance in smoke induced lung cancer by altering phosphorylati… | HS Solanki, R Raja, A Zhavoronkov, IV Ozerov, AV Artem… | Oncoscience 8, 108, 2021 | 2021 | 2 |
| Molecular sets (MOSES): a benchmarking platform for molecular generation models | D Polykovskiy, A Zhebrak, B Sanchez-Lengeling, S Golov… | Frontiers in pharmacology 11, 565644, 2020 | 2020 | 940 |
| Potential non-covalent SARS-CoV-2 3C-like protease inhibitors designed using generative deep learning approaches and reviewed by… | A Zhavoronkov, B Zagribelnyy, A Zhebrak, V Aladinskiy,… | 2020 | 284 | |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning | F Galkin, P Mamoshina, A Aliper, E Lane, V Moskalev, V… | Iscience 23 (6), 2020 | 2020 | 276 |
| Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities | F Galkin, P Mamoshina, A Aliper, JP de Magalhães, VN G… | Ageing research reviews 60, 101050, 2020 | 2020 | 213 |
| Will artificial intelligence for drug discovery impact clinical pharmacology? | A Zhavoronkov, Q Vanhaelen, TI Oprea | Clinical Pharmacology & Therapeutics 107 (4), 780-785, 2020 | 2020 | 191 |
| The advent of generative chemistry | Q Vanhaelen, YC Lin, A Zhavoronkov | ACS medicinal chemistry letters 11 (8), 1496-1505, 2020 | 2020 | 167 |
| Geroprotective and senoremediative strategies to reduce the comorbidity, infection rates, severity, and lethality in gerophilic a… | A Zhavoronkov | Aging (Albany NY) 12 (8), 6492, 2020 | 2020 | 89 |
| Psychological aging, depression, and well-being | M Mitina, S Young, A Zhavoronkov | Aging (Albany NY) 12 (18), 18765, 2020 | 2020 | 88 |
| Artificial intelligence, drug repurposing and peer review | JM Levin, TI Oprea, S Davidovich, T Clozel, JP Overing… | Nature Biotechnology 38 (10), 1127-1131, 2020 | 2020 | 84 |
| ARDD 2020: from aging mechanisms to interventions | GV Mkrtchyan, K Abdelmohsen, P Andreux, I Bagdonaite,… | Aging (Albany NY) 12 (24), 24484, 2020 | 2020 | 72 |
| GULP1 regulates the NRF2-KEAP1 signaling axis in urothelial carcinoma | M Hayashi, E Guida, Y Inokawa, R Goldberg, LO Reis, A… | Science signaling 13 (645), eaba0443, 2020 | 2020 | 50 |
| Radioprotectors. org: an open database of known and predicted radioprotectors | AM Aliper, ME Bozdaganyan, VA Sarkisova, AP Veviorsky,… | Aging (Albany NY) 12 (15), 15741, 2020 | 2020 | 43 |
| Molecular sets (moses): a benchmarking platform for molecular generation models. Front Pharmacol | D Polykovskiy, A Zhebrak, B Sanchez-Lengeling, S Golov… | 2020 | 38 | |
| PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence | A Zhavoronkov, K Kochetov, P Diamandis, M Mitina | Aging (Albany NY) 12 (23), 23548, 2020 | 2020 | 36 |
| Reply to ‘Assessing the impact of generative AI on medicinal chemistry’ | A Zhavoronkov, A Aspuru-Guzik | Nature Biotechnology 38 (2), 146-146, 2020 | 2020 | 21 |
| Medicinal chemists versus machines challenge: what will it take to adopt and advance artificial intelligence for drug discovery? | A Zhavoronkov | Journal of Chemical Information and Modeling 60 (6), 2657-2659, 2020 | 2020 | 14 |
| The inherent challenges of classifying senescence | A Zhavoronkov | Science 368 (6491), 595-595, 2020 | 2020 | 8 |
| Multimodal AI Engine for Clinical Trials Outcome Prediction: Prospective Case Study Summer 2020 | A Zhavoronkov, R Kudrin, E Tutubalina, A Kuzmina | 2020 | 2 | |
| Potential 2019-nCoV 3C-like protease inhibitors designed using generative deelearning approaches | A Zhavoronkov, VA Aladinskiy, A Zhebrak, B Zagribelnyy… | 2020 | 2 | |
| GULP1 regulates the NRF2-KEAP1 signaling axis in urothelial carcinoma | TJ Bivalacqua, LFM Gonzalez, W Choi, P Sadhukhan, MO H… | Science Signaling 13, 2020 | 2020 | 0 |
| Deep learning enables rapid identification of potent DDR1 kinase inhibitors | A Zhavoronkov, YA Ivanenkov, A Aliper, MS Veselov, VA… | Nature biotechnology 37 (9), 1038-1040, 2019 | 2019 | 1,835 |
| Artificial intelligence for aging and longevity research: Recent advances and perspectives | A Zhavoronkov, P Mamoshina, Q Vanhaelen, M Scheibye-Kn… | Ageing research reviews 49, 49-66, 2019 | 2019 | 276 |
| Blood biochemistry analysis to detect smoking status and quantify accelerated aging in smokers | P Mamoshina, K Kochetov, F Cortese, A Kovalchuk, A Ali… | Scientific reports 9 (1), 142, 2019 | 2019 | 119 |
| Deep aging clocks: the emergence of AI-based biomarkers of aging and longevity | A Zhavoronkov, P Mamoshina | Trends in Pharmacological Sciences 40 (8), 546-549, 2019 | 2019 | 103 |
| Immune profiles in primary squamous cell carcinoma of the head and neck | V Saloura, E Izumchenko, Z Zuo, R Bao, M Korzinkin, I… | Oral Oncology 96, 77-88, 2019 | 2019 | 82 |
| Deep biomarkers of aging and longevity: from research to applications | A Zhavoronkov, R Li, C Ma, P Mamoshina | Aging (Albany NY) 11 (22), 10771, 2019 | 2019 | 80 |
| Identification of novel antibacterials using machine learning techniques | YA Ivanenkov, A Zhavoronkov, RS Yamidanov, IA Osterman… | Frontiers in pharmacology 10, 913, 2019 | 2019 | 46 |
| Transcriptome Analysis of Long-lived Drosophila melanogaster E(z) Mutants Sheds Light on the Molecular Mechanisms of Longevity | AA Moskalev, MV Shaposhnikov, NV Zemskaya, LА Koval, .… | Scientific Reports 9 (1), 9151, 2019 | 2019 | 36 |
| Latest advances in aging research and drug discovery | D Bakula, A Ablasser, A Aguzzi, A Antebi, N Barzilai,… | Aging (albany NY) 11 (22), 9971, 2019 | 2019 | 26 |
| Replicative and radiation-induced aging: a comparison of gene expression profiles | AM Aliper, ME Bozdaganyan, PS Orekhov, A Zhavoronkov,… | Aging (Albany NY) 11 (8), 2378, 2019 | 2019 | 26 |
| PIM1 kinase promotes gallbladder cancer cell proliferation via inhibition of proline-rich Akt substrate of 40 kDa (PRAS40) | T Subbannayya, P Leal-Rojas, A Zhavoronkov, IV Ozerov,… | Journal of cell communication and signaling 13 (2), 163-177, 2019 | 2019 | 18 |
| The Neuronal Overexpression of Gclc in Drosophila melanogaster Induces Life Extension With Longevity-Associated Transcriptomic Ch… | A Moskalev, Z Guvatova, M Shaposhnikov, E Lashmanova,… | Frontiers in Genetics 10, 149, 2019 | 2019 | 11 |
| Effects of unpaired 1 gene overexpression on the lifespan of Drosophila melanogaster | A Moskalev, E Proshkina, A Zhavoronkov, M Shaposhnikov | BMC Systems Biology 13 (Suppl 1), 16, 2019 | 2019 | 11 |
| The advent of human life data economics | A Zhavoronkov, G Church | Trends in Molecular Medicine 25 (7), 566-570, 2019 | 2019 | 10 |
| Deep integrated biomarkers of aging | P Mamoshina, A Zhavoronkov | Biomarkers of Human Aging, 281-291, 2019 | 2019 | 7 |
| Testing for batch effect through age predictors | P Mamoshina, K Kochetov, E Putin, A Aliper, A Zhavoron… | bioRxiv, 531863, 2019 | 2019 | 6 |
| & Ivanenkov, Y.(2020) | A Zhavoronkov, V Aladinskiy, A Zhebrak, B Zagribelnyy,… | Potential COVID-2019 3C-like protease inhibitors designed using gener… | 2019 | 5 |
| Identification of novel antibacterials using machine learning techniques. Front Pharmacol 2019; 10: 913 | YA Ivanenkov, A Zhavoronkov, RS Yamidanov, IA Osterman… | 2019 | 2 | |
| Doublecortin-like kinase 1 (DCLK1) is novel Notch pathway signaling regulator in HNSCC | EC Broner, T Subbannayya, A Zhavoronkov, M Korzinkin,… | Cancer Research 79 (13_Supplement), 3443-3443, 2019 | 2019 | 1 |
| The Advent of Human Life Data Economics:(Trends in Molecular Medicine 25, 566–570; 2019) | A Zhavoronkov, G Church | Trends in Molecular Medicine 25 (9), 817, 2019 | 2019 | 0 |
| 12-INTELLIGENZA ARTIFICIALE PER LA RICERCA SULL’INVECCHIAMENTO E LA LONGEVITÀ: RECENTI PROGRESSI E PROSPETTIVE | A Zhavoronkov, P Mamoshina, Q Vanhaelen, M Scheibye-Kn… | LONGEVITÀ LONGEVITÀ 49, 235, 2019 | 2019 | 0 |
| Reinforced Adversarial Neural Computer for de Novo Molecular Design | E Putin, A Asadulaev, Y Ivanenkov, V Aladinskiy, B San… | Journal of chemical information and modeling 58 (6), 1194-1204, 2018 | 2018 | 470 |
| Bifunctional immune checkpoint-targeted antibody-ligand traps that simultaneously disable TGFβ enhance the efficacy of cancer imm… | R Ravi, KA Noonan, V Pham, R Bedi, A Zhavoronkov, IV O… | Nature communications 9 (1), 741, 2018 | 2018 | 344 |
| Entangled conditional adversarial autoencoder for de novo drug discovery | D Polykovskiy, A Zhebrak, D Vetrov, Y Ivanenkov, V Ala… | Molecular pharmaceutics 15 (10), 4398-4405, 2018 | 2018 | 334 |
| Adversarial Threshold Neural Computer for Molecular de Novo Design | E Putin, A Asadulaev, Q Vanhaelen, Y Ivanenkov, AV Ala… | Molecular pharmaceutics 15 (10), 4386-4397, 2018 | 2018 | 278 |
| Machine learning on human muscle transcriptomic data for biomarker discovery and tissue-specific drug target identification | P Mamoshina, M Volosnikova, IV Ozerov, E Putin, E Skib… | Frontiers in genetics 9, 378508, 2018 | 2018 | 262 |
| Artificial intelligence for drug discovery, biomarker development, and generation of novel chemistry | A Zhavoronkov | Molecular Pharmaceutics 15 (10), 4311-4313, 2018 | 2018 | 246 |
| Population specific biomarkers of human aging: a big data study using South Korean, Canadian, and Eastern European patient popula… | P Mamoshina, K Kochetov, E Lane, F Cortese, A Aliper,… | The Journals of Gerontology: Series A 73 (11), 1482-1490, 2018 | 2018 | 235 |
| PhotoAgeClock: deep learning algorithms for development of non-invasive visual biomarkers of aging | E Bobrov, A Georgievskaya, K Kiselev, A Sevastopolsky,… | Aging (Albany NY) 10 (11), 3249, 2018 | 2018 | 143 |
| 3D molecular representations based on the wave transform for convolutional neural networks | D Kuzminykh, D Polykovskiy, A Kadurin, A Zhebrak, I Ba… | Molecular pharmaceutics 15 (10), 4378-4385, 2018 | 2018 | 143 |
| Vive la radiorésistance!: converging research in radiobiology and biogerontology to enhance human radioresistance for deep space… | F Cortese, D Klokov, A Osipov, J Stefaniak, A Moskalev… | Oncotarget 9 (18), 14692, 2018 | 2018 | 121 |
| A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency | N Borisov, V Tkachev, M Suntsova, O Kovalchuk, A Zhavo… | Cell Cycle 17 (4), 486-491, 2018 | 2018 | 71 |
| Effects of N-acetyl-L-cysteine on lifespan, locomotor activity and stress-resistance of 3 Drosophila species with different lifes… | MV Shaposhnikov, NV Zemskaya, LA Koval, EV Schegoleva,… | Aging (Albany NY) 10 (9), 2428, 2018 | 2018 | 51 |
| Aging and drug discovery | D Bakula, AM Aliper, P Mamoshina, MA Petr, A Teklu, JA… | Aging (Albany NY) 10 (11), 3079, 2018 | 2018 | 31 |
| Integrated transcriptomic and epigenomic analysis of ovarian cancer reveals epigenetically silenced GULP1 | L Maldonado, M Brait, E Izumchenko, S Begum, A Chatter… | Cancer letters 433, 242-251, 2018 | 2018 | 31 |
| Overexpression of CBS and CSE genes affects lifespan, stress resistance and locomotor activity in Drosophila melanogaster | M Shaposhnikov, E Proshkina, L Koval, N Zemskaya, A Zh… | Aging (Albany NY) 10 (11), 3260, 2018 | 2018 | 30 |
| Targeting focal adhesion kinase overcomes erlotinib resistance in smoke induced lung cancer by altering phosphorylation of epider… | HS Solanki, R Raja, A Zhavoronkov, IV Ozerov, AV Artem… | Oncoscience 5 (1-2), 21, 2018 | 2018 | 19 |
| Smoking causes early biological aging: a deep neural network analysis of common blood test results | N Skjodt, P Mamoshina, K Kochetov, F Cortese, A Kovalc… | European Respiratory Journal 52 (suppl 62), 2018 | 2018 | 7 |
| Role of the NOTCH signaling pathway in head and neck cancer | AD Schubert, FT Zamuner, NR London Jr, A Zhavoronkov,… | Molecular Determinants of Head and Neck Cancer, 229-248, 2018 | 2018 | 5 |
| Identification of smoking status from routine blood test results using deep neural network analysis | N Skjodt, P Mamoshina, K Kochetov, F Cortese, A Kovalc… | European Respiratory Journal 52 (suppl 62), 2018 | 2018 | 1 |
| Doublecortin-like kinase 1 (DCLK1) correlates with Notch pathway signaling, controls metastatic characteristics in head and neck… | EC Broner, T Subbannayya, J Advani, A Zhavoronkov, A A… | Cancer Research 78 (13_Supplement), 4512-4512, 2018 | 2018 | 0 |
| druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular prope… | A Kadurin, S Nikolenko, K Khrabrov, A Aliper, A Zhavor… | Molecular pharmaceutics 14 (9), 3098-3104, 2017 | 2017 | 696 |
| Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research… | P Mamoshina, L Ojomoko, Y Yanovich, A Ostrovski, A Bot… | Oncotarget 9 (5), 5665, 2017 | 2017 | 608 |
| The DrugAge database of aging‐related drugs | D Barardo, D Thornton, H Thoppil, M Walsh, S Sharifi,… | Aging cell 16 (3), 594-597, 2017 | 2017 | 223 |
| Design of efficient computational workflows for in silico drug repurposing | Q Vanhaelen, P Mamoshina, AM Aliper, A Artemov, K Lezh… | Drug Discovery Today 22 (2), 210-222, 2017 | 2017 | 174 |
| Towards natural mimetics of metformin and rapamycin | A Aliper, L Jellen, F Cortese, A Artemov, D Karpinsky-… | Aging (albany NY) 9 (11), 2245, 2017 | 2017 | 120 |
| SMAD4 loss is associated with cetuximab resistance and induction of MAPK/JNK activation in head and neck cancer cells | H Ozawa, RS Ranaweera, E Izumchenko, E Makarev, A Zhav… | Clinical Cancer Research 23 (17), 5162-5175, 2017 | 2017 | 80 |
| Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic data | N Borisov, M Suntsova, M Sorokin, A Garazha, O Kovalch… | Cell cycle 16 (19), 1810-1823, 2017 | 2017 | 74 |
| Residual γH2AX foci induced by low dose x-ray radiation in bone marrow mesenchymal stem cells do not cause accelerated senescence… | M Pustovalova, ТA Astrelina, A Grekhova, N Vorobyeva,… | Aging (Albany NY) 9 (11), 2397, 2017 | 2017 | 61 |
| Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer… | MD West, I Labat, H Sternberg, D Larocca, I Nasonkin,… | Oncotarget 9 (8), 7796, 2017 | 2017 | 58 |
| γH2AX, 53BP1 and Rad51 protein foci changes in mesenchymal stem cells during prolonged X-ray irradiation | A Tsvetkova, IV Ozerov, M Pustovalova, A Grekhova, P E… | Oncotarget 8 (38), 64317, 2017 | 2017 | 54 |
| Mathematical justification of expression-based pathway activation scoring (PAS) | AM Aliper, MB Korzinkin, NB Kuzmina, AA Zenin, LS Venk… | Biological Networks and Pathway Analysis, 31-51, 2017 | 2017 | 43 |
| In silico analysis of pathways activation landscape in oral squamous cell carcinoma and oral leukoplakia | E Makarev, AD Schubert, RR Kanherkar, N London, M Teka… | Cell Death Discovery 3 (1), 17022, 2017 | 2017 | 43 |
| The Evaluation of Geroprotective Effects of Selected Flavonoids in Drosophila melanogaster and Caenorhabditis elegans | E Lashmanova, N Zemskaya, E Proshkina, A Kudryavtseva,… | Frontiers in pharmacology 8, 884, 2017 | 2017 | 41 |
| An analysis of gene expression data involving examination of signaling pathways activation reveals new insights into the mechanis… | GN Stamatas, J Wu, A Pappas, P Mirmirani, TS McCormick… | Cell Cycle 16 (17), 1578-1584, 2017 | 2017 | 34 |
| A review of the biomedical innovations for healthy longevity | A Moskalev, V Anisimov, A Aliper, A Artemov, K Asadull… | Aging (Albany NY) 9 (1), 7, 2017 | 2017 | 34 |
| Bioinformatics meets biomedicine: OncoFinder, a quantitative approach for interrogating molecular pathways using gene expression… | AA Buzdin, V Prassolov, AA Zhavoronkov, NM Borisov | Biological Networks and Pathway Analysis, 53-83, 2017 | 2017 | 31 |
| A comparative review of computational methods for pathway perturbation analysis: dynamical and topological perspectives | Q Vanhaelen, AM Aliper, A Zhavoronkov | Molecular BioSystems 13 (9), 1692-1704, 2017 | 2017 | 13 |
| Evaluating race and sex diversity in the world's largest companies using deep neural networks | K Chekanov, P Mamoshina, RV Yampolskiy, R Timofte, ... | arXiv preprint arXiv:1707.02353, 2017 | 2017 | 8 |
| Potentialities of MicroRNA Diagnosis in Patients with Bladder Cancer. | P Shegay, A Zhavoronkov, N Gaifullin, N Vorob'ev, B Al… | Bulletin of Experimental Biology & Medicine 164 (1), 106, 2017 | 2017 | 2 |
| System, method and software for analysis of intracellular signaling pathway activation using transcriptomic data | A Buzdin, N Borisov, A Zhavoronkov | US Patent App. 15/524,724, 2017 | 2017 | 1 |
| Systems, methods and software for ranking potential geroprotective drugs | A Buzdin, N Borisov, A Zhavoronkov | US Patent App. 15/125,177, 2017 | 2017 | 1 |
| The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology | K Khrabrov, P Mamoshina, A Zhavoronkov, A Kadurin, Q V… | 2017 | 0 | |
| Applications of deep learning in biomedicine | P Mamoshina, A Vieira, E Putin, A Zhavoronkov | Molecular pharmaceutics 13 (5), 1445-1454, 2016 | 2016 | 921 |
| Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data | A Aliper, S Plis, A Artemov, A Ulloa, P Mamoshina, A Z… | Molecular pharmaceutics 13 (7), 2524-2530, 2016 | 2016 | 767 |
| The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology | A Kadurin, A Aliper, A Kazennov, P Mamoshina, Q Vanhae… | Oncotarget 8 (7), 10883, 2016 | 2016 | 472 |
| Deep biomarkers of human aging: application of deep neural networks to biomarker development | E Putin, P Mamoshina, A Aliper, M Korzinkin, A Moskale… | Aging (albany NY) 8 (5), 1021, 2016 | 2016 | 451 |
| In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development | IV Ozerov, KV Lezhnina, E Izumchenko, AV Artemov, S Me… | Nature communications 7 (1), 13427, 2016 | 2016 | 181 |
| Developing criteria for evaluation of geroprotectors as a key stage toward translation to the clinic | A Moskalev, E Chernyagina, V Tsvetkov, A Fedintsev, M… | Aging cell 15 (3), 407-415, 2016 | 2016 | 161 |
| In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state | A Aliper, AV Belikov, A Garazha, L Jellen, A Artemov,… | Aging (Albany NY) 8 (9), 2127, 2016 | 2016 | 78 |
| Common pathway signature in lung and liver fibrosis | E Makarev, E Izumchenko, F Aihara, PT Wysocki, Q Zhu,… | Cell Cycle 15 (13), 1667-1673, 2016 | 2016 | 70 |
| Pro-fibrotic pathway activation in trabecular meshwork and lamina cribrosa is the main driving force of glaucoma | A Zhavoronkov, E Izumchenko, RR Kanherkar, M Teka, C C… | Cell Cycle 15 (12), 1643-1652, 2016 | 2016 | 70 |
| Differential expression of alternatively spliced transcripts related to energy metabolism in colorectal cancer | AV Snezhkina, GS Krasnov, AR Zaretsky, A Zhavoronkov,… | BMC genomics 17 (Suppl 14), 1011, 2016 | 2016 | 62 |
| Effect of lentivirus-mediated shRNA inactivation of HK1, HK2, and HK3 genes in colorectal cancer and melanoma cells | AV Kudryavtseva, MS Fedorova, A Zhavoronkov, AA Moskal… | BMC genetics 17 (Suppl 3), 156, 2016 | 2016 | 57 |
| Integrated deep learned transcriptomic and structure-based predictor of clinical trials outcomes | AV Artemov, E Putin, Q Vanhaelen, A Aliper, IV Ozerov,… | BioRxiv, 095653, 2016 | 2016 | 48 |
| Accumulation of spontaneous γH2AX foci in long-term cultured mesenchymal stromal cells | M Pustovalova, A Grekhova, T Astrelina, V Nikitina, E… | Aging (Albany NY) 8 (12), 3498, 2016 | 2016 | 47 |
| MiRImpact, a new bioinformatic method using complete microRNA expression profiles to assess their overall influence on the activi… | AV Artcibasova, MB Korzinkin, MI Sorokin, PV Shegay, A… | Cell Cycle 15 (5), 689-698, 2016 | 2016 | 35 |
| Large-scale profiling of signalling pathways reveals an asthma specific signature in bronchial smooth muscle cells | E Alexandrova, G Nassa, G Corleone, A Buzdin, AM Alipe… | Oncotarget 7 (18), 25150, 2016 | 2016 | 35 |
| Molecular pathway activation features of pediatric acute myeloid leukemia (AML) and acute lymphoblast leukemia (ALL) cells | I Petrov, M Suntsova, O Mutorova, M Sorokin, A Garazha… | Aging (Albany NY) 8 (11), 2936, 2016 | 2016 | 26 |
| Early stage of cytomegalovirus infection suppresses host microRNA expression regulation in human fibroblasts | AA Buzdin, AV Artcibasova, NF Fedorova, MV Suntsova, A… | Cell Cycle 15 (24), 3378-3389, 2016 | 2016 | 24 |
| should we treat aging as a disease? Academic, pharmaceutical, healthcare policy, and pension fund perspectives | A Zhavoronkov, A Moskalev | Frontiers in Genetics 7, 17, 2016 | 2016 | 20 |
| Models of innate neural attractors and their applications for neural information processing | KP Solovyeva, IM Karandashev, A Zhavoronkov, WL Dunin-… | Frontiers in Systems Neuroscience 9, 178, 2016 | 2016 | 17 |
| Aging Chart: a community resource for rapid exploratory pathway analysis of age-related processes | A Moskalev, S Zhikrivetskaya, M Shaposhnikov, E Dobrov… | Nucleic Acids Research 44 (D1), D894-D899, 2016 | 2016 | 14 |
| Cancer megafunds with in silico and in vitro validation: accelerating cancer drug discovery via financial engineering without fin… | X Yang, E Debonneuil, A Zhavoronkov, B Mishra | Oncotarget 7 (36), 57671, 2016 | 2016 | 11 |
| Integrated deep learned transcriptomic and structure-based predictor of clinical trials outcomes. bioRxiv | AV Artemov, E Putin, Q Vanhaelen, A Aliper, IV Ozerov,… | Biochem, 095653, 2016 | 2016 | 9 |
| System, Method and Software for Predicting Drug Efficacy in a Patient | A Zhavoronkov, K Lezhnina, M Korzinkin, D Shepelin, A… | US Patent App. 15/008,465, 2016 | 2016 | 1 |
| System, Method and Software for Predicting Clinical Outcome of a Drug Treatment of Breast Cancer in a Patient | A Zhavoronkov, K Lezhnina, M Korzinkin, D Shepelin, A… | US Patent App. 15/008,471, 2016 | 2016 | 1 |
| Patent application title: System, Method and Software for Improved Drug Efficacy and Safety in a Patient Inventors: Aleksandrs Za… | IPC Class, A USPC | 2016 | 0 | |
| Geroscope: a new method for in silico screening of candidate geroprotective drugs using gene expression data | A Aliper, A Belicov, A Moskalev, A Zhavoronkov | Biomedical innovation for healthy longevity, 89-89, 2016 | 2016 | 0 |
| DNA repair in species with extreme lifespan differences | SL MacRae, MMK Croken, RB Calder, A Aliper, B Milholla… | Aging (Albany NY) 7 (12), 1171, 2015 | 2015 | 221 |
| Classifying aging as a disease in the context of ICD-11 | A Zhavoronkov, B Bhullar | Frontiers in genetics 6, 165350, 2015 | 2015 | 164 |
| Geroprotectors. org: a new, structured and curated database of current therapeutic interventions in aging and age-related disease | A Moskalev, E Chernyagina, JP de Magalhães, D Barardo,… | Aging (Albany NY) 7 (9), 616, 2015 | 2015 | 151 |
| Molecular functions of human endogenous retroviruses in health and disease | M Suntsova, A Garazha, A Ivanova, D Kaminsky, A Zhavor… | Cellular and Molecular Life Sciences 72 (19), 3653-3675, 2015 | 2015 | 116 |
| Lifespan and Stress Resistance in Drosophila with Overexpressed DNA Repair Genes | M Shaposhnikov, E Proshkina, L Shilova, A Zhavoronkov,… | Scientific reports 5 (1), 15299, 2015 | 2015 | 110 |
| Signaling pathway activation drift during aging: Hutchinson-Gilford Progeria Syndrome fibroblasts are comparable to normal middle… | AM Aliper, AB Csoka, A Buzdin, T Jetka, S Roumiantsev,… | Aging (Albany NY) 7 (1), 26, 2015 | 2015 | 100 |
| Low doses of X-rays induce prolonged and ATM-independent persistence of γH2AX foci in human gingival mesenchymal stem cells | AN Osipov, M Pustovalova, A Grekhova, P Eremin, N Voro… | Oncotarget 6 (29), 27275, 2015 | 2015 | 94 |
| Fucoxanthin increases lifespan of Drosophila melanogaster and Caenorhabditis elegans | E Lashmanova, E Proshkina, S Zhikrivetskaya, O Shevche… | Pharmacological Research 100, 228-241, 2015 | 2015 | 91 |
| Influence of non-steroidal anti-inflammatory drugs on Drosophila melanogaster longevity | A Danilov, M Shaposhnikov, O Shevchenko, N Zemskaya, A… | Oncotarget 6 (23), 19428, 2015 | 2015 | 71 |
| A method for predicting target drug efficiency in cancer based on the analysis of signaling pathway activation | A Artemov, A Aliper, M Korzinkin, K Lezhnina, L Jellen… | Oncotarget 6 (30), 29347, 2015 | 2015 | 65 |
| Pathway activation strength is a novel independent prognostic biomarker for cetuximab sensitivity in colorectal cancer patients | Q Zhu, E Izumchenko, AM Aliper, E Makarev, K Paz, AA B… | Human genome variation 2 (1), 15009, 2015 | 2015 | 63 |
| Activation of homologous recombination DNA repair in human skin fibroblasts continuously exposed to X-ray radiation | AN Osipov, A Grekhova, M Pustovalova, IV Ozerov, P Ere… | Oncotarget 6 (29), 26876, 2015 | 2015 | 56 |
| Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human | D Shepelin, M Korzinkin, A Vanyushina, A Aliper, N Bor… | Oncotarget 7 (1), 656, 2015 | 2015 | 41 |
| New bioinformatic tool for quick identification of functionally relevant endogenous retroviral inserts in human genome | A Garazha, A Ivanova, M Suntsova, G Malakhova, S Roumi… | Cell Cycle 14 (9), 1476-1484, 2015 | 2015 | 34 |
| Combinatorial high-throughput experimental and bioinformatic approach identifies molecular pathways linked with the sensitivity t… | L Venkova, A Aliper, M Suntsova, R Kholodenko, D Shepe… | Oncotarget 6 (29), 27227, 2015 | 2015 | 33 |
| Longevity expectations in the pension fund, insurance, and employee benefits industries | A Zhavoronkov | Psychology Research and Behavior Management, 27-39, 2015 | 2015 | 20 |
| Screening and personalizing nootropic drugs and cognitive modulator regimens in silico | LC Jellen, A Aliper, A Buzdin, A Zhavoronkov | Frontiers in Systems Neuroscience 9, 4, 2015 | 2015 | 14 |
| Quantifying signaling pathway activation to monitor the quality of induced pluripotent stem cells | E Makarev, K Fortney, M Litovchenko, KH Braunewell, A… | Oncotarget 6 (27), 23204, 2015 | 2015 | 12 |
| Inhibitors of mTOR in aging and cancer | A Zhavoronkov | Oncotarget 6 (42), 45010, 2015 | 2015 | 7 |
| System, method and software for analysis of intracellular signaling pathway activation using transcriptomic data | A Buzdin, N Borisov, A Zhavoronkov | 2015 | 2 | |
| DNA repair in species with extreme lifespan differences | R White, A Zhavoronkov | AGING 7 (12), 2015 | 2015 | 0 |
| GrantMed: a new, international system for tracking grants and funding trends in the life sciences | Y Nikolsky, R Gurinovich, O Kuryan, A Pashuk, A Scherb… | arXiv preprint arXiv:1512.00126, 2015 | 2015 | 0 |
| Systems, methods and software for ranking potential geroprotective drugs | A Buzdin, N Borisov, A Zhavoronkov | 2015 | 0 | |
| Interview with Alex Zhavoronkov, PhD | A Zhavoronkov | Rejuvenation Research 18 (4), 2015 | 2015 | 0 |
| Genetics and epigenetics of aging and longevity | A Moskalev, A Aliper, Z Smit-McBride, A Buzdin, A Zhav… | Cell Cycle 13 (7), 1063-1077, 2014 | 2014 | 251 |
| Molecular aspects of development and regulation of endometriosis | YB Aznaurova, MB Zhumataev, TK Roberts, AM Aliper, AA… | Reproductive Biology and Endocrinology 12 (1), 50, 2014 | 2014 | 166 |
| A role for G‐CSF and GM‐CSF in nonmyeloid cancers | AM Aliper, VP Frieden‐Korovkina, A Buzdin, SA Roumiant… | Cancer medicine 3 (4), 737-746, 2014 | 2014 | 148 |
| Oncofinder, a new method for the analysis of intracellular signaling pathway activation using transcriptomic data | AA Buzdin, AA Zhavoronkov, MB Korzinkin, LS Venkova, A… | Frontiers in genetics 5, 55, 2014 | 2014 | 117 |
| Signaling pathways activation profiles make better markers of cancer than expression of individual genes | NM Borisov, NV Terekhanova, AM Aliper, LS Venkova, PY… | Oncotarget 5 (20), 10198, 2014 | 2014 | 85 |
| The OncoFinder algorithm for minimizing the errors introduced by the high-throughput methods of transcriptome analysis | AA Buzdin, AA Zhavoronkov, MB Korzinkin, SA Roumiantse… | Frontiers in Molecular Biosciences 1, 8, 2014 | 2014 | 66 |
| Signaling pathway cloud regulation for in silico screening and ranking of the potential geroprotective drugs | A Zhavoronkov, AA Buzdin, AV Garazha, NM Borisov, AA M… | Frontiers in genetics 5, 49, 2014 | 2014 | 64 |
| Pathway activation profiling reveals new insights into age-related macular degeneration and provides avenues for therapeutic inte… | E Makarev, C Cantor, A Zhavoronkov, A Buzdin, A Aliper… | Aging (Albany NY) 6 (12), 1064, 2014 | 2014 | 62 |
| Novel robust biomarkers for human bladder cancer based on activation of intracellular signaling pathways | K Lezhnina, O Kovalchuk, AA Zhavoronkov, MB Korzinkin,… | Oncotarget 5 (19), 9022, 2014 | 2014 | 59 |
| DNA comet Giemsa staining for conventional bright-field microscopy | A Osipov, E Arkhangelskaya, A Vinokurov, N Smetaninа,… | International Journal of Molecular Sciences 15 (4), 6086-6095, 2014 | 2014 | 47 |
| Interactome analysis of myeloid-derived suppressor cells in murine models of colon and breast cancer | AM Aliper, VP Frieden-Korovkina, A Buzdin, SA Roumiant… | Oncotarget 5 (22), 11345, 2014 | 2014 | 40 |
| Mineralization of the connective tissue: a complex molecular process leading to age-related loss of function | AV Shindyapina, GV Mkrtchyan, T Gneteeva, S Buiucli, B… | Rejuvenation research 17 (2), 116-133, 2014 | 2014 | 35 |
| The effects of pectins on life span and stress resistance in Drosophila melanogaster | M Shaposhnikov, D Latkin, E Plyusnina, L Shilova, A Da… | Biogerontology 15 (2), 113-127, 2014 | 2014 | 28 |
| On multilabel classification methods of incompletely labeled biomedical text data | A Kolesov, D Kamyshenkov, M Litovchenko, E Smekalova,… | Computational and mathematical methods in medicine 2014 (1), 781807,… | 2014 | 20 |
| Exhaustive data mining comparison of the effects of low doses of ionizing radiation, formaldehyde and dioxins | A Moskalev, M Shaposhnikov, E Plyusnina, S Plyusnin, O… | BMC genomics 15 (Suppl 12), S5, 2014 | 2014 | 9 |
| The evolution of the charge density distribution function for spherically symmetric system with zero initial conditions | EE Perepelkin, NG Inozemtseva, AA Zhavoronkov | World J. Condenced Matter Phys 4, 33-38, 2014 | 2014 | 5 |
| The case of nonzero initial conditions in the evolution of the charge density distribution function for a spherically symmetric s… | BI Sadovnikov, AA Zhavoronkov | Journal of Applied Mathematics and Physics 2 (7), 495-502, 2014 | 2014 | 4 |
| Preparation stimulating hair growth possibly acts by inhibiting hair follicle ageing experiments on mice and transcriptome analys… | V KhS, LG Vetkova, AM Aliper, AA Zhavoronkov, AV Snezh… | Advances in Gerontology= Uspekhi Gerontologii 27 (4), 631-636, 2014 | 2014 | 1 |
| A Novel Classification System for Aging Theories Lucas S. Trindade, Toshiro Aigaki, Alexandre A. Peixoto, Alex Balduino, Ivana B.… | C Coburn, D Gems, P Zimniak, AM Vaiserman, EG Pasyukov… | Papers of the Conference on Genetics of Aging and Longevity 2012, 4,… | 2014 | 0 |
| GeroScope: a new method forin silicoscreening of candidate geroprotective drugs using gene expression data: WED-027 | A Aliper, A Moskalev, L Venkova, M Korzinkin, N Boriso… | FEBS Journal, The 281, 625, 2014 | 2014 | 0 |
| Prediction of Bevacizumab drug efficacy on the treatment of colon cancer using bioinformatic algorithm OncoFinder: TUE-190 | K Lezhnina, N Borisov, A Zhavoronkov, A Aliper, M Korz… | FEBS Journal, The 281, 496-497, 2014 | 2014 | 0 |
| OncoFinder, a unique method enabling qualitative and quantitative analysis of intracellular signaling pathway network activation… | A Buzdin, N Borisov, A Aliper, K Lezhnina, M Baranova,… | FEBS Journal, The 281, 492-493, 2014 | 2014 | 0 |
| Prediction of Bevacizumab drug efficacy on the treatment of colon cancer using bioinformatic algorithm OncoFinder | K Lezhnina, N Borisov, A Zhavoronkov, A Aliper, M Korz… | FEBS JOURNAL 281, 495-496, 2014 | 2014 | 0 |
| OncoFinder, a unique method enabling qualitative and quantitative analysis of intracellular signaling pathway network activation… | A Buzdin, N Borisov, A Aliper, K Lezhnina, M Baranova,… | FEBS JOURNAL 281, 491-492, 2014 | 2014 | 0 |
| On Multilabel Classification Methods of Incompletely Labeled Biomedical Text Data | M Litovchenko, EM Smekalova, D Kamyshenkov, A Golovizin | Computational and Mathematical Methods in Medicine 2014, 1-11, 2014 | 2014 | 0 |
| The role of DNA damage and repair in aging through the prism of Koch-like criteria | AA Moskalev, MV Shaposhnikov, EN Plyusnina, A Zhavoron… | Ageing research reviews 12 (2), 661-684, 2013 | 2013 | 551 |
| Human-specific endogenous retroviral insert serves as an enhancer for the schizophrenia-linked gene PRODH | M Suntsova, EV Gogvadze, S Salozhin, N Gaifullin, F Er… | Proceedings of the National Academy of Sciences 110 (48), 19472-19477… | 2013 | 120 |
| The ageless generation: how advances in biomedicine will transform the global economy | A Zhavoronkov | Macmillan, 2013 | 2013 | 40 |
| Biomedical progress rates as new parameters for models of economic growth in developed countries | A Zhavoronkov, M Litovchenko | International journal of environmental research and public health 10… | 2013 | 35 |
| A systematic experimental evaluation of microRNA markers of human bladder cancer | AA Zabolotneva, AA Zhavoronkov, PV Shegay, NM Gaifulli… | Frontiers in genetics 4, 247, 2013 | 2013 | 25 |
| From personalized medicine to personalized science: uniting science and medicine for patient-driven, goal-oriented research | A Zhavoronkov, CR Cantor | Rejuvenation Research 16 (5), 414-418, 2013 | 2013 | 16 |
| Genetic Screening and Diagnostics: An Industry Primer | AZ Alexander Aliper, Maria Litovchenko, Anton Buzdin | FRCC for Pediatric Hematology,Oncology&Immunology 1, 81, 2013 | 2013 | 0 |
| Gadd45 proteins: relevance to aging, longevity and age-related pathologies | AA Moskalev, Z Smit-McBride, MV Shaposhnikov, EN Plyus… | Ageing research reviews 11 (1), 51-66, 2012 | 2012 | 198 |
| The role of D-GADD45 in oxidative, thermal and genotoxic stress resistance | A Moskalev, E Plyusnina, M Shaposhnikov, L Shilova, A… | Cell Cycle 11 (22), 21-20, 2012 | 2012 | 68 |
| Characteristic patterns of microRNA expression in human bladder cancer | AA Zabolotneva, A Zhavoronkov, AV Garazha, SA Roumiant… | Frontiers in Genetics 3, 2012 | 2012 | 54 |
| Potential therapeutic approaches for modulating expression and accumulation of defective lamin A in laminopathies and age-related… | A Zhavoronkov, Z Smit-McBride, KJ Guinan, M Litovchenk… | Journal of molecular medicine 90 (12), 1361-1389, 2012 | 2012 | 34 |
| Non-invasive prenatal diagnostics of aneuploidy using next-generation DNA sequencing technologies, and clinical considerations | YN Nepomnyashchaya, AV Artemov, SA Roumiantsev, AG Rou… | 2012 | 33 | |
| Evaluating the Impact of Recent Advances in Biomedical Sciences and the Possible Mortality Decreases on the Future of Healthcare… | A Zhavoronkov, N Mirza, I Artukhov | Available at SSRN 2135190, 2012 | 2012 | 12 |
| Dating AI: A Guide to Falling In Love with Artificial Intelligence | A Zhavoronkoff | Re/Search Publications, 2012 | 2012 | 0 |
| Brain-computer interface based on generation of visual images | P Bobrov, A Frolov, C Cantor, I Fedulova, M Bakhnyan,… | PloS one 6 (6), e20674, 2011 | 2011 | 216 |
| Methods for structuring scientific knowledge from many areas related to aging research | A Zhavoronkov, CR Cantor | PloS one 6 (7), e22597, 2011 | 2011 | 51 |
| Chirality as a problem of biochemical physics | VA Tverdislov, LV Yakovenko, AA Zhavoronkov | Russian Journal of General Chemistry 77 (11), 1994-2005, 2007 | 2007 | 38 |
| Novel robust biomarkers for human bladder cancer based on activation of intracellular signaling pathways. Oncotarget 2014; 5: 902… | K Lezhnina, O Kovalchuk, AA Zhavoronkov, MB Korzinkin,… | 0 | 5 | |
| Multimodal AI Engine for Clinical Trials Outcome Prediction: Prospective Case Study H2 2022-H2 2023 | A Aliper, R Kudrin, I Bushmakin, O Novitskaia, E Tutub… | 0 | 1 | |
| Multimodal AI Engine for Clinical Trials Outcome Prediction: Prospective Case Study of Big Pharma for Q2 2020 | A Zhavoronkov, R Kudrin, E Tutubalina, A Kuzmina | 0 | 1 | |
| DruGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Prope… | K Khrabrov, A Zhavoronkov, A Kadurin, S Nikolenko, A A… | 0 | 1 | |
| Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors | A Aspuru-Guzik, A Zhavoronkov | 0 | 0 | |
| Multimodal AI Engine for Clinical Trials Outcome Prediction: Prospective Case Study H2 2023 | R Kudrin, I Bushmakin, O Novitskaia, A Ustiugova, D Po… | 0 | 0 | |
| WORKFLOW FOR GENERATING COMPOUNDS WITH BIOLOGICAL ACTIVITY AGAINST A SPECIFIC BIOLOGICAL TARGET | ZA CN, IYAN RU, PD RU, AA RU | 0 | 0 | |
| This article has been corrected. Correction in: https://doi. org/10.18632/oncoscience. 546 | HS Solanki, R Raja, A Zhavoronkov, IV Ozerov, AV Artem… | 0 | 0 | |
| Multimodal AI Engine for Clinical Trials Outcome Prediction: Prospective Case Study Q2 2020 | A Zhavoronkov, R Kudrin, E Tutubalina, A Kuzmina | 0 | 0 | |
| 3D Molecular Representations Based on the Wave Transform for Convolutional Neural Networks | R Shayakhmetov, D Kuzminykh, A Zhebrak, I Baskov, D Po… | 0 | 0 | |
| ANNEXE 4. ARTICLE: EVALUATING THE IMPACT OF RECENT ADVANCES IN BIOMEDICAL SCIENCES AND THE POSSIBLE MORTALITY DECREASES ON THE FU… | A Zhavoronkov, E Debonneuil, N Mirza, I Artyuhov | Analyses prospectives de mortalité: approches actuarielle et biomédic… | 0 | 0 |
| Cytomegalovirus infection results in a collapse of host microRNA expression regulation Early stage of cytomegalovirus infection s… | AA Buzdin, AV Artcibasova, NF Fedorova, MV Suntsova, A… | 0 | 0 | |
| Abstract| PDF| Full Text| Supplementary Material 1| Supplementary Material 2| Order a Reprint| https://doi. org/10.18632/oncoscie… | HS Solanki, R Raja, A Zhavoronkov, IV Ozerov, AV Artem… | 0 | 0 | |
| Using Signaling Pathway Activation Analysis to Identify Prospective Drugs that May Be Used for Treatment of Androgenetic Alopecia | E Schastnaya, P Mamoshina, A Aliper, A Artemov, A Mosk… | 0 | 0 | |
| Using Signaling Pathway Activation Analysis to Identify Prospective Drugs that May Slow Down or Reverse the Effects of Skin Aging… | A Aliper, P Mamoshina, A Artemov, A Moskalev, A Buzdin… | 0 | 0 |
Click any row to expand full author list and scholar link.
🧬 Publications in Longevity (100 papers)
2023 · 623 citations
Biomarkers of aging for the identification and evaluation of longevity interventions
2013 · 551 citations
The role of DNA damage and repair in aging through the prism of Koch-like criteria
2016 · 451 citations
Deep biomarkers of human aging: application of deep neural networks to biomarker development
2024 · 302 citations
Validation of biomarkers of aging
2020 · 276 citations
Human gut microbiome aging clock based on taxonomic profiling and deep learning
2019 · 276 citations
Artificial intelligence for aging and longevity research: Recent advances and perspectives
2014 · 251 citations
Genetics and epigenetics of aging and longevity
2018 · 235 citations
Population specific biomarkers of human aging: a big data study using South Korean, Canadian, and Eastern European pati…
2017 · 223 citations
The DrugAge database of aging‐related drugs
2015 · 221 citations
DNA repair in species with extreme lifespan differences
2020 · 213 citations
Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities
2012 · 198 citations
Gadd45 proteins: relevance to aging, longevity and age-related pathologies
Showing top 12 by citations. See full table above for all papers.
🤖 Publications in AI (70 papers)
2019 · 1,835 citations
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
2016 · 921 citations
Applications of deep learning in biomedicine
2016 · 767 citations
Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic…
2017 · 696 citations
druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molec…
2017 · 608 citations
Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedica…
2016 · 472 citations
The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology
2016 · 451 citations
Deep biomarkers of human aging: application of deep neural networks to biomarker development
2023 · 368 citations
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecu…
2018 · 344 citations
Bifunctional immune checkpoint-targeted antibody-ligand traps that simultaneously disable TGFβ enhance the efficacy of…
2018 · 334 citations
Entangled conditional adversarial autoencoder for de novo drug discovery
2020 · 284 citations
Potential non-covalent SARS-CoV-2 3C-like protease inhibitors designed using generative deep learning approaches and re…
2020 · 276 citations
Human gut microbiome aging clock based on taxonomic profiling and deep learning
Showing top 12 by citations. See full table above for all papers.
⚛️ Publications in Quantum (8 papers)
2023 · 124 citations
Quantum computing for near-term applications in generative chemistry and drug discovery
2023 · 124 citations
Exploring the advantages of quantum generative adversarial networks in generative chemistry
2025 · 103 citations
Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors
2024 · 22 citations
Complexity of life sciences in quantum and AI era
2024 · 7 citations
Quantum-assisted fragment-based automated structure generator (QFASG) for small molecule design: an in vitro study
2025 · 4 citations
Enhancing drug discovery: Quantum machine learning for qsar prediction with incomplete data
2026 · 1 citations
Drug Discovery with Quantum Machine Learning
📊 Publications in Economics (8 papers)
2013 · 40 citations
The ageless generation: how advances in biomedicine will transform the global economy
2013 · 35 citations
Biomedical progress rates as new parameters for models of economic growth in developed countries
2016 · 20 citations
should we treat aging as a disease? Academic, pharmaceutical, healthcare policy, and pension fund perspectives
2015 · 20 citations
Longevity expectations in the pension fund, insurance, and employee benefits industries
2025 · 14 citations
AI-driven robotics laboratory identifies pharmacological TNIK inhibition as a potent senomorphic agent
2016 · 11 citations
Cancer megafunds with in silico and in vitro validation: accelerating cancer drug discovery via financial engineering w…
2019 · 10 citations