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Andrey Alekseenko
Andrey Alekseenko
SciLifeLab, KTH Royal Institute of Technology
Verified email at scilifelab.se
Title
Cited by
Cited by
Year
Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment
MF Lensink, G Brysbaert, T Mauri, N Nadzirin, S Velankar, RAG Chaleil, ...
Proteins: Structure, Function, and Bioinformatics 89 (12), 1800-1823, 2021
1002021
Improved Modeling of Peptide-Protein Binding Through Global Docking and Accelerated Molecular Dynamics Simulations
J Wang, A Alekseenko, D Kozakov, Y Miao
Frontiers in Molecular Biosciences 6, 112, 2019
732019
Kinase Atlas: Druggability Analysis of Potential Allosteric Sites in Kinases
C Yueh, TJ Rettenmaier, B Xia, DR Hall, A Alekseenko, KA Porter, ...
Journal of Medicinal Chemistry 62 (14), 6512-6524, 2019
692019
Protein–Protein and Protein–Peptide Docking with ClusPro Server
A Alekseenko, M Ignatov, G Jones, M Sabitova, D Kozakov
Protein Structure Prediction, 157-174, 2020
452020
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), 7796–7811, 2018
452018
Molecular mechanisms, thermodynamics, and dissociation kinetics of knob-hole interactions in fibrin
O Kononova, RI Litvinov, A Zhmurov, A Alekseenko, CH Cheng, ...
Journal of Biological Chemistry 288 (31), 22681-22692, 2013
392013
ClusPro LigTBM: automated template-based small molecule docking
A Alekseenko, S Kotelnikov, M Ignatov, M Egbert, Y Kholodov, S Vajda, ...
Journal of molecular biology 432 (11), 3404-3410, 2020
252020
Template‐Based Modeling by ClusPro in CASP13 and the Potential for Using Co‐evolutionary Information in Docking
KA Porter, D Padhorny, I Desta, M Ignatov, D Beglov, S Kotelnikov, Z Sun, ...
Proteins: Structure, Function, and Bioinformatics, 2019
222019
Protein–ligand docking using FFT based sampling: D3R case study
D Padhorny, DR Hall, H Mirzaei, AB Mamonov, M Moghadasi, ...
Journal of computer-aided molecular design 32, 225-230, 2018
212018
Traffic flow speed prediction on transportation graph with convolutional neural networks
NG Prokoptsev, AE Alekseenko, YA Kholodov
Computer Research and Modeling 10 (3), 359-367, 2018
192018
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 (1), 119-127, 2019
162019
Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4
S Kotelnikov, A Alekseenko, C Liu, M Ignatov, D Padhorny, E Brini, ...
Journal of Computer-Aided Molecular Design 34 (2), 179-189, 2020
152020
SOP‐GPU: influence of solvent‐induced hydrodynamic interactions on dynamic structural transitions in protein assemblies
A Alekseenko, O Kononova, Y Kholodov, KA Marx, V Barsegov
Journal of Computational Chemistry 37 (17), 1537-1551, 2016
132016
ClusPro in rounds 38‐45 of CAPRI: Toward combining template‐based methods with free docking
D Padhorny, KA Porter, M Ignatov, A Alekseenko, D Beglov, S Kotelnikov, ...
Proteins: Structure, Function, and Bioinformatics, 2020
122020
Bayesian localization for autonomous vehicle using sensor fusion and traffic signs
S Verentsov, E Magerramov, V Vinogradov, R Gizatullin, A Alekseenko, ...
Proceedings of the 3rd International Conference on Robotics and Artificial …, 2017
112017
Experiences With Adding SYCL Support to GROMACS.
A Alekseenko, S Páll, E Lindahl
IWOCL, 17:1, 2021
82021
ITS+DM Hackathon (ITSC 2017): Lane Departure Prediction with Naturalistic Driving Data
A Alekseenko, HQ Dang, G Bansal, JJ Sánchez-Medina, C Miyajima, ...
IEEE Intelligent Transportation Systems Magazine 11 (4), 78-93, 2019
82019
Разработка, калибровка и верификация модели движения трафика в городских условиях. Часть I
АЕ Алексеенко, ЯА Холодов, АС Холодов, АИ Горева, МО Васильев, ...
Компьютерные исследования и моделирование 7 (6), 1185-1203, 2015
8*2015
Построение математической модели дорожного перекрестка на основе гидродинамического подхода
ЯА Холодов, АЕ Алексеенко, МО Васильев, АС Холодов
Компьютерные исследования и моделирование 6 (4), 503-522, 2014
8*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
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