| 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 | 360 | 2017 |
| Molecular dynamics simulations of the relaxation processes in the condensed matter on GPUs IV Morozov, AM Kazennov, RG Bystryi, GE Norman, VV Pisarev, ... Computer Physics Communications 182 (9), 1974-1978, 2011 | 79 | 2011 |
| Protein–protein docking by fast generalized Fourier transforms on 5D rotational manifolds D Padhorny, A Kazennov, BS Zerbe, KA Porter, B Xia, SE Mottarella, ... Proceedings of the National Academy of Sciences 113 (30), E4286-E4293, 2016 | 67 | 2016 |
| Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells MD West, I Labat, H Sternberg, D Larocca, I Nasonkin, KB Chapman, ... Oncotarget 9 (8), 7796, 2018 | 41 | 2018 |
| Monte Carlo on the manifold and MD refinement for binding pose prediction of protein–ligand complexes: 2017 D3R Grand Challenge M Ignatov, C Liu, A Alekseenko, Z Sun, D Padhorny, S Kotelnikov, ... Journal of computer-aided molecular design 33, 119-127, 2019 | 17 | 2019 |
| ClusPro FMFT-SAXS: ultra-fast filtering using small-angle X-ray scattering data in protein docking M Ignatov, A Kazennov, D Kozakov Journal of molecular biology 430 (15), 2249-2255, 2018 | 16 | 2018 |
| Основы технологии CUDA АМ Казённов Компьютерные исследования и моделирование 2 (3), 295-308, 2010 | 15 | 2010 |
| Linking theoretical and simulation approaches to study fluids in nanoporous media: Molecular dynamics and classical density functional theory M Vaganova, I Nesterova, Y Kanygin, A Kazennov, A Khlyupin Chemical Engineering Science 250, 117383, 2022 | 13 | 2022 |
| Impact of distance-based metric learning on classification and visualization model performance and structure–activity landscapes NV Kireeva, SI Ovchinnikova, SL Kuznetsov, AM Kazennov, AY Tsivadze Journal of computer-aided molecular design 28, 61-73, 2014 | 10 | 2014 |
| Реализация клеточных автоматов" игра Жизнь" с применением технологий CUDA и OpenCL АЕ Алексеенко, АМ Казённов Компьютерные исследования и моделирование 2 (3), 323-326, 2010 | 8 | 2010 |
| Сравнение вычислительных возможностей графических ускорителей при решении различных классов задач МА Кривов, АМ Казеннов Режим доступу: http://agora. guru. ru/hpch/files …, 2011 | 6 | 2011 |
| The cornucopia of meaningful leads: applying deep adversarial autoencoders for new molecule development in oncology. Oncotarget 8, 10883–10890 A Kadurin, A Aliper, A Kazennov | 5 | 2017 |
| Evaluation of CDK6 and p16/INK4a-derived peptides interaction A Kazennov, A Alekseenko, V Bozhenko, T Kulinich, N Shuvalov, ... Computational Molecular Bioscience 3 (3), 53, 2013 | 4 | 2013 |
| Basic concepts of CUDA technology AM Kazennov Computer research and modeling 2 (3), 295-308, 2010 | 4 | 2010 |
| Simulation of the Gravitational Mixing on GPU PA Kuchugov, ND Shuvalov, AM Kazennov Discrete and Continuous Models and Applied Computational Science, 225-229, 2014 | 2 | 2014 |
| CUDA and OpenCL implementations of Conway’s Game of Life cellular automata AE Alekseenko, AM Kazennov Computer Research and Modeling 2 (3), 323-326, 2010 | 2 | 2010 |
| GeForce или Tesla? М Кривов, А Казеннов Суперкомпьютеры Top, 50-2011, 2010 | 2 | 2010 |
| Efficient search for the possible mutual arrangements of two rigid bodies with the use of the generalized five-dimensional Fourier transform AM Kazennov, AE Alekseenko, D Kozakov, DN Padhorny, YA Kholodov Mathematical Models and Computer Simulations 7, 315-322, 2015 | 1 | 2015 |
| Linking Theoretical and Simulation Approaches to Study Fluids in Nanoporous Media: Classical Molecular Dynamics and Density Functional Theory M Vaganova, I Nesterova, Y Kanygin, A Kazennov, A Khlyupin arXiv preprint arXiv:2105.06914, 2021 | | 2021 |
| Ensemble building and statistical mechanics methods for MHC-peptide binding prediction IV Grebenkin, AE Alekseenko, NA Gaivoronskiy, MG Ignatov, ... Computer research and modeling 12 (6), 1383-1395, 2020 | | 2020 |
