Alex Zhavoronkov (Aleksandrs Zavoronkovs)
Alex Zhavoronkov (Aleksandrs Zavoronkovs)
Insilico Medicine
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Citado por
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
Applications of deep learning in biomedicine
P Mamoshina, A Vieira, E Putin, A Zhavoronkov
Molecular pharmaceutics 13 (5), 1445-1454, 2016
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
Molecular sets (MOSES): a benchmarking platform for molecular generation models
D Polykovskiy, A Zhebrak, B Sanchez-Lengeling, S Golovanov, O Tatanov, ...
Frontiers in pharmacology 11, 565644, 2020
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
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
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
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
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
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), 741, 2018
Potential non-covalent SARS-CoV-2 3C-like protease inhibitors designed using generative deep learning approaches and reviewed by human medicinal chemist in virtual reality
A Zhavoronkov, B Zagribelnyy, A Zhebrak, V Aladinskiy, V Terentiev, ...
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
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
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
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
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
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 Skibina, F Cortese, ...
Frontiers in genetics 9, 242, 2018
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
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
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