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Alexander Zhebrak
Alexander Zhebrak
Relation Therapeutics
在 relationrx.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
10352019
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, 1931, 2020
619*2020
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
4702018
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
2512018
Potential 2019-nCoV 3C-like protease inhibitors designed using generative deep learning approaches
A Zhavoronkov, V Aladinskiy, A Zhebrak, B Zagribelnyy, V Terentiev, ...
235*2020
3D molecular representations based on the wave transform for convolutional neural networks
D Kuzminykh, D Polykovskiy, A Kadurin, A Zhebrak, I Baskov, S Nikolenko, ...
Molecular pharmaceutics 15 (10), 4378-4385, 2018
1202018
Potential non-covalent SARS-CoV-2 3C-like protease inhibitors designed using generative deep learning approaches
A Zhavoronkov, B Zagribelnyy, A Zhebrak, V Aladinskiy, V Terentiev, ...
452020
Molecular generation for desired transcriptome changes with adversarial autoencoders
R Shayakhmetov, M Kuznetsov, A Zhebrak, A Kadurin, S Nikolenko, ...
Frontiers in Pharmacology 11, 269, 2020
352020
A prior of a googol gaussians: a tensor ring induced prior for generative models
M Kuznetsov, D Polykovskiy, D Vetrov, A Zhebrak
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
202019
Extracting invariant features from images using an equivariant autoencoder
D Kuzminykh, D Polykovskiy, A Zhebrak
Asian Conference on Machine Learning, 438-453, 2018
132018
Chemistry42: An AI-based platform for de novo molecular design
YA Ivanenkov, A Zhebrak, D Bezrukov, B Zagribelnyy, V Aladinskiy, ...
arXiv preprint arXiv:2101.09050, 2021
42021
Subset-Conditioned Generation Using Variational Autoencoder With A Learnable Tensor-Train Induced Prior
M Kuznetsov, D Polykovskiy, D Vetrov, A Zhebrak
Advances in Neural Information Processing Systems, Bayesian Deep Learning …, 2018
32018
Subset conditioning using variational autoencoder with a learnable tensor train induced prior
A Aliper, A Zavoronkovs, A Zhebrak, D Polykovskiy, M Kuznetsov, ...
US Patent 11,593,660, 2023
12023
Mutual information adversarial autoencoder
A Aliper, A Zavoronkovs, A Zhebrak, A Kadurin, D Polykovskiy, ...
US Patent App. 17/842,247, 2022
12022
Subset conditioning using variational autoencoder with a learnable tensor train induced prior
A Aliper, A Zavoronkovs, A Zhebrak, D Polykovskiy, M Kuznetsov, ...
US Patent App. 18/538,870, 2024
2024
Subset conditioning using variational autoencoder with a learnable tensor train induced prior
A Aliper, A Zavoronkovs, A Zhebrak, D Polykovskiy, M Kuznetsov, ...
US Patent 11,893,498, 2024
2024
Entangled conditional adversarial autoencoder for drug discovery
D Polykovskiy, A Kadurin, AM Aliper, A Zhebrak, A Zavoronkovs
US Patent App. 18/336,818, 2023
2023
Entangled conditional adversarial autoencoder for drug discovery
D Polykovskiy, A Kadurin, AM Aliper, A Zhebrak, A Zavoronkovs
US Patent 11,680,063, 2023
2023
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models (Supplementary)
M Kuznetsov, D Polykovskiy, D Vetrov, A Zhebrak
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