Alex Zhavoronkov
Cited by
Cited by
Applications of deep learning in biomedicine
P Mamoshina, A Vieira, E Putin, A Zhavoronkov
Molecular pharmaceutics 13 (5), 1445-1454, 2016
The role of DNA damage and repair in aging through the prism of Koch-like criteria
AA Moskalev, MV Shaposhnikov, EN Plyusnina, A Zhavoronkov, ...
Ageing research reviews 12 (2), 661-684, 2013
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
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
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
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, 2017
Brain-computer interface based on generation of visual images
P Bobrov, A Frolov, C Cantor, I Fedulova, M Bakhnyan, A Zhavoronkov
PloS one 6 (6), e20674, 2011
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
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
Gadd45 proteins: relevance to aging, longevity and age-related pathologies
AA Moskalev, Z Smit-McBride, MV Shaposhnikov, EN Plyusnina, ...
Ageing research reviews 11 (1), 51-66, 2012
Reinforced Adversarial Neural Computer for de Novo Molecular Design
E Putin, A Asadulaev, Y Ivanenkov, V Aladinskiy, B Sanchez-Lengeling, ...
Journal of chemical information and modeling 58 (6), 1194-1204, 2018
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, 2018
Molecular aspects of development and regulation of endometriosis
YB Aznaurova, MB Zhumataev, TK Roberts, AM Aliper, AA Zhavoronkov
Reproductive Biology and Endocrinology 12 (1), 50, 2014
Bifunctional immune checkpoint-targeted antibody-ligand traps that simultaneously disable TGFβ enhance the efficacy of cancer immunotherapy
R Ravi, KA Noonan, V Pham, R Bedi, A Zhavoronkov, IV Ozerov, ...
Nature communications 9 (1), 1-14, 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
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
Oncofinder, a new method for the analysis of intracellular signaling pathway activation using transcriptomic data
AA Buzdin, AA Zhavoronkov, MB Korzinkin, LS Venkova, AA Zenin, ...
Frontiers in genetics 5, 55, 2014
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
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
Developing criteria for evaluation of geroprotectors as a key stage toward translation to the clinic
A Moskalev, E Chernyagina, V Tsvetkov, A Fedintsev, M Shaposhnikov, ...
Aging cell 15 (3), 407-415, 2016
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