Alex Zhavoronkov

Deep learning enables rapid identification of potent DDR1 kinase inhibitors

Alex Zhavoronkov, Yan A. Ivanenkov, Alex Aliper et al. · Nature Biotechnology · 2019 · 1.4K citations

Drug Target, Engineering, De Novo Drug Design +10

druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

Artur Kadurin, Sergey Nikolenko, Kuzma Khrabrov et al. · Molecular Pharmaceutics · 2017 · 593 citations

Molecular Fingerprints, Engineering, Machine Learning +23

Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data

Alexander Aliper, Sergey Plis, Artem V. Artemov et al. · Molecular Pharmaceutics · 2016 · 587 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16

Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare

Polina Mamoshina, Lucy O. Ojomoko, Yury Yanovich et al. · Oncotarget · 2017 · 462 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

Reinforced Adversarial Neural Computer for <i>de Novo</i> Molecular Design

Evgeny Putin, Arip Asadulaev, Yan A. Ivanenkov et al. · Journal of Chemical Information and Modeling · 2018 · 374 citations · Full text

Drug Target, Engineering, Machine Learning +18