A. Kazennov

发表

Efficient search for the possible mutual arrangements of two rigid bodies with the use of the generalized five-dimensional Fourier transform

Y. Kholodov, A. Kazennov, A. Alekseenko, 2015, Mathematical Models and Computer Simulations.

Protein–protein docking by fast generalized Fourier transforms on 5D rotational manifolds

Dima Kozakov, Sandor Vajda, Yaroslav Kholodov, 2016, Proceedings of the National Academy of Sciences.

Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells

Andrey Alekseenko, Evgeny Putin, Polina Mamoshina, 2017, Oncotarget.

Evaluation of CDK6 and p16/INK4a-Derived Peptides Interaction

Y. Kholodov, Andrey Alekseenko, Bozhenko Vk, 2013 .

Evaluation of CDK 6 and p 16 / INK 4 a-Derived Peptides Interaction

Y. Kholodov, Andrey Alekseenko, V. Bozhenko, 2013 .

The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology

Andrey Kazennov, Artur Kadurin, Alexander Aliper, 2016, Oncotarget.

Monte Carlo on the manifold and MD refinement for binding pose prediction of protein–ligand complexes: 2017 D3R Grand Challenge

Cong Liu, Dima Kozakov, Yaroslav Kholodov, 2018, Journal of Computer-Aided Molecular Design.

Ensemble building and statistical mechanics methods for MHC-peptide binding prediction

D. Kozakov, Y. Kholodov, Andrey Alekseenko, 2020 .

Molecular dynamics simulations of the relaxation processes in the condensed matter on GPUs

Igor V. Morozov, Andrey M. Kazennov, R. G. Bystryi, 2011, Comput. Phys. Commun..

Linking Theoretical and Simulation Approaches to Study Fluids in Nanoporous Media: Molecular Dynamics and Classical Density Functional Theory

A. Khlyupin, Yuriy Kanygin, Irina Nesterova, 2021, Chemical Engineering Science.

Linking Theoretical and Simulation Approaches to Study Fluids in Nanoporous Media: Classical Molecular Dynamics and Density Functional Theory

I. Nesterova, A. Khlyupin, Yuriy Kanygin, 2021, 2105.06914.

ClusPro FMFT-SAXS: Ultra-fast Filtering Using Small-Angle X-ray Scattering Data in Protein Docking.

Dima Kozakov, Mikhail Ignatov, Andrey Kazennov, 2018, Journal of molecular biology.