| Deep learning enables rapid identification of potent DDR1 kinase inhibitors A Zhavoronkov, YA Ivanenkov, A Aliper, MS Veselov, VA Aladinskiy, ... Nature biotechnology 37 (9), 1038-1040, 2019 | 1192 | 2019 |
| 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 Zhavoronkov Molecular pharmaceutics 13 (7), 2524-2530, 2016 | 658 | 2016 |
| druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular properties in silico A Kadurin, S Nikolenko, K Khrabrov, A Aliper, A Zhavoronkov Molecular pharmaceutics 14 (9), 3098-3104, 2017 | 584 | 2017 |
| Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare P Mamoshina, L Ojomoko, Y Yanovich, A Ostrovski, A Botezatu, ... Oncotarget 9 (5), 5665, 2017 | 505 | 2017 |
| The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology A Kadurin, A Aliper, A Kazennov, P Mamoshina, Q Vanhaelen, ... Oncotarget 8 (7), 10883, 2016 | 406 | 2016 |
| Deep biomarkers of human aging: application of deep neural networks to biomarker development E Putin, P Mamoshina, A Aliper, M Korzinkin, A Moskalev, A Kolosov, ... Aging (albany NY) 8 (5), 1021, 2016 | 405 | 2016 |
| Entangled conditional adversarial autoencoder for de novo drug discovery D Polykovskiy, A Zhebrak, D Vetrov, Y Ivanenkov, V Aladinskiy, ... Molecular pharmaceutics 15 (10), 4398-4405, 2018 | 275 | 2018 |
| Adversarial Threshold Neural Computer for Molecular de Novo Design E Putin, A Asadulaev, Q Vanhaelen, Y Ivanenkov, AV Aladinskaya, ... Molecular pharmaceutics 15 (10), 4386-4397, 2018 | 238 | 2018 |
| Genetics and epigenetics of aging and longevity A Moskalev, A Aliper, Z Smit-McBride, A Buzdin, A Zhavoronkov Cell Cycle 13 (7), 1063-1077, 2014 | 231 | 2014 |
| Potential 2019-nCoV 3C-like protease inhibitors designed using generative deep learning approaches A Zhavoronkov, V Aladinskiy, A Zhebrak, B Zagribelnyy, V Terentiev, ... | 213 | 2020 |
| Artificial intelligence for aging and longevity research: Recent advances and perspectives A Zhavoronkov, P Mamoshina, Q Vanhaelen, M Scheibye-Knudsen, ... Ageing research reviews 49, 49-66, 2019 | 204 | 2019 |
| Population specific biomarkers of human aging: a big data study using South Korean, Canadian, and Eastern European patient populations P Mamoshina, K Kochetov, E Putin, F Cortese, A Aliper, WS Lee, SM Ahn, ... The Journals of Gerontology: Series A 73 (11), 1482-1490, 2018 | 202 | 2018 |
| DNA repair in species with extreme lifespan differences SL MacRae, MMK Croken, RB Calder, A Aliper, B Milholland, RR White, ... Aging (Albany NY) 7 (12), 1171, 2015 | 184 | 2015 |
| AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor F Ren, X Ding, M Zheng, M Korzinkin, X Cai, W Zhu, A Mantsyzov, ... Chemical science 14 (6), 1443-1452, 2023 | 180 | 2023 |
| Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities F Galkin, P Mamoshina, A Aliper, JP de Magalhães, VN Gladyshev, ... Ageing Research Reviews 60, 101050, 2020 | 162 | 2020 |
| Design of efficient computational workflows for in silico drug repurposing Q Vanhaelen, P Mamoshina, AM Aliper, A Artemov, K Lezhnina, I Ozerov, ... Drug Discovery Today 22 (2), 210-222, 2017 | 158 | 2017 |
| In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development IV Ozerov, KV Lezhnina, E Izumchenko, AV Artemov, S Medintsev, ... Nature communications 7 (1), 13427, 2016 | 158 | 2016 |
| Molecular aspects of development and regulation of endometriosis YB Aznaurova, MB Zhumataev, TK Roberts, AM Aliper, AA Zhavoronkov Reproductive Biology and Endocrinology 12, 1-25, 2014 | 157 | 2014 |
| A role for G‐CSF and GM‐CSF in nonmyeloid cancers AM Aliper, VP Frieden‐Korovkina, A Buzdin, SA Roumiantsev, ... Cancer medicine 3 (4), 737-746, 2014 | 138 | 2014 |
| Human gut microbiome aging clock based on taxonomic profiling and deep learning F Galkin, P Mamoshina, A Aliper, E Putin, V Moskalev, VN Gladyshev, ... Iscience 23 (6), 2020 | 133 | 2020 |