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ORCIDAndrey Alekseenko
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- affiliation: KTH Royal Institute of Technology, Sweden
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Journal Articles
- 2020
[j5]Sergei Kotelnikov, Andrey Alekseenko
, Cong Liu, Mikhail Ignatov, Dzmitry Padhorny, Emiliano Brini, Mark Lukin, Evangelos A. Coutsias, Ken A. Dill, Dima Kozakov:
Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4. J. Comput. Aided Mol. Des. 34(2): 179-189 (2020)- 2019
- [j4]Andrey Alekseenko, Hien Q. Dang, Gaurav Bansal, Javier J. Sánchez Medina, Chiyomi Miyajima, Takatsugu Hirayama, Kazuya Takeda, Ichiro Ide:
ITS+DM Hackathon (ITSC 2017): Lane Departure Prediction With Naturalistic Driving Data. IEEE Intell. Transp. Syst. Mag. 11(4): 78-93 (2019) - [j3]Mikhail Ignatov, Cong Liu, Andrey Alekseenko, Zhuyezi Sun, Dzmitry Padhorny, Sergei Kotelnikov, Andrey M. Kazennov, Ivan Grebenkin, Yaroslav Kholodov, Istvan Kolosvari, Alberto Pérez, Ken A. Dill, Dima Kozakov:
Monte Carlo on the manifold and MD refinement for binding pose prediction of protein-ligand complexes: 2017 D3R Grand Challenge. J. Comput. Aided Mol. Des. 33(1): 119-127 (2019) - 2018
- [j2]Dzmitry Padhorny, David R. Hall, Hanieh Mirzaei, Artem B. Mamonov, Mohammad Moghadasi, Andrey Alekseenko, Dmitri Beglov, Dima Kozakov:
Protein-ligand docking using FFT based sampling: D3R case study. J. Comput. Aided Mol. Des. 32(1): 225-230 (2018) - 2016
- [j1]Andrey Alekseenko, Olga Kononova, Yaroslav Kholodov, Kenneth A. Marx, Valeri Barsegov:
SOP-GPU: influence of solvent-induced hydrodynamic interactions on dynamic structural transitions in protein assemblies. J. Comput. Chem. 37(17): 1537-1551 (2016)
Conference and Workshop Papers
- 2023
- [c5]Andrey Alekseenko, Szilárd Páll:
Comparing the Performance of SYCL Runtimes for Molecular Dynamics Applications. IWOCL 2023: 6:1-6:2 - 2021
- [c4]Andrey Alekseenko, Szilárd Páll, Erik Lindahl:
Experiences With Adding SYCL Support to GROMACS. IWOCL 2021: 17:1 - 2018
- [c3]Sergey Verentsov, Emil Magerramov, Vlad Vinogradov, Ramil Gizatullin, Andrey Alekseenko, Yaroslav Kholodov, Evgeniy Nikolskiy:
Bayesian Framework for Vehicle Localization Using Crowdsourced Data. Intelligent Vehicles Symposium 2018: 215-219 - 2017
- [c2]Sergey Verentsov, Emil Magerramov, Vlad Vinogradov, Ramil Gizatullin, Andrey Alekseenko, Yaroslav Kholodov, Evgeniy Nikolskiy:
Bayesian Localization for Autonomous Vehicle using Sensor Fusion and Traffic Signs. ICRAI 2017: 71-74 - [c1]Andrey Alekseenko, Yaroslav Kholodov, Aleksander Kholodov, Yuri V. Chekhovich, Vsevolod Starozhilets:
Adaptive traffic light control on highway entrances. ITSC 2017: 1-6
Informal and Other Publications
- 2024
- [i1]Andrey Alekseenko, Szilárd Páll, Erik Lindahl:
GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability. CoRR abs/2405.01420 (2024)
Coauthor Index
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