E-LIB Suche - Ergebnisse für: Alekseenko, Andrey

1

Comparing the Performance of SYCL Runtimes for Molecular Dy..:

, In: International Workshop on OpenCL,

Alekseenko, Andrey ; Páll, Szilárd - p. 1-2 , 2023

Link: https://dl.acm.org/doi/1..

2

Generalization Second Order Macroscopic Traffic Models via ..:

Kholodov, Yaroslav ; Alekseenko, Andrey ; Kazorin, Viktor.
Mathematics. 9 (2021) 16 - p. 2001 , 2021

Link: https://doi.org/10.3390/..

3

Experiences With Adding SYCL Support to GROMACS:

, In: International Workshop on OpenCL,

Alekseenko, Andrey ; Páll, Szilárd ; Lindahl, Erik - p. 1 ff. , 2021

Link: https://dl.acm.org/doi/1..

4

ClusPro LigTBM: Automated Template-based Small Molecule Doc..:

Alekseenko, Andrey ; Kotelnikov, Sergei ; Ignatov, Mikhail...
Journal of Molecular Biology. 432 (2020) 11 - p. 3404-3410 , 2020

Link: https://doi.org/10.1016/..

5

ClusPro in rounds 38 to 45 of CAPRI: Toward combining templ..:

Padhorny, Dzmitry ; Porter, Kathryn A. ; Ignatov, Mikhail...
Proteins: Structure, Function, and Bioinformatics. 88 (2020) 8 - p. 1082-1090 , 2020

Link: https://doi.org/10.1002/..

6

Kinase Atlas: Druggability Analysis of Potential Allosteric..:

Yueh, Christine ; Rettenmaier, Justin ; Xia, Bing...
Journal of Medicinal Chemistry. 62 (2019) 14 - p. 6512-6524 , 2019

Link: https://doi.org/10.1021/..

7

Template‐based modeling by ClusPro in CASP13 and the potent..:

Porter, Kathryn A. ; Padhorny, Dzmitry ; Desta, Israel...
Proteins: Structure, Function, and Bioinformatics. 87 (2019) 12 - p. 1241-1248 , 2019

Link: https://doi.org/10.1002/..

8

Sampling and refinement protocols for template-based macroc..:

Kotelnikov, Sergei ; Alekseenko, Andrey ; Liu, Cong...
Journal of Computer-Aided Molecular Design. 34 (2019) 2 - p. 179-189 , 2019

Link: https://doi.org/10.1007/..

9

Improved Modeling of Peptide-Protein Binding Through Global..:

Wang, Jinan ; Alekseenko, Andrey ; Kozakov, Dima.
Frontiers in Molecular Biosciences. 6 (2019) - p. , 2019

Link: https://doi.org/10.3389/..

10

ITS+DM Hackathon (ITSC 2017): Lane Departure Prediction Wit..:

Alekseenko, Andrey ; Dang, Hien Q. ; Bansal, Gaurav...
IEEE Intelligent Transportation Systems Magazine. 11 (2019) 4 - p. 78-93 , 2019

Link: https://doi.org/10.1109/..

11

Monte Carlo on the manifold and MD refinement for binding p..:

Ignatov, Mikhail ; Liu, Cong ; Alekseenko, Andrey...
Journal of Computer-Aided Molecular Design. 33 (2018) 1 - p. 119-127 , 2018

Link: https://doi.org/10.1007/..

12

Protein–ligand docking using FFT based sampling: D3R case s..:

Padhorny, Dzmitry ; Hall, David R. ; Mirzaei, Hanieh...
Journal of Computer-Aided Molecular Design. 32 (2017) 1 - p. 225-230 , 2017

Link: https://doi.org/10.1007/..

13

Use of deep neural network ensembles to identify embryonic-..:

West, Michael D. ; Labat, Ivan ; Sternberg, Hal...
Oncotarget. 9 (2017) 8 - p. 7796-7811 , 2017

Link: https://doi.org/10.18632..

14

Bayesian Localization for Autonomous Vehicle using Sensor F..:

, In: Proceedings of the 2017 International Conference on Robotics and Artificial Intelligence,

Verentsov, Sergey ; Magerramov, Emil ; Vinogradov, Vlad... - p. 71-74 , 2017

Link: https://dl.acm.org/doi/1..

15

SOP‐GPU: influence of solvent‐induced hydrodynamic interact..:

Alekseenko, Andrey ; Kononova, Olga ; Kholodov, Yaroslav..
Journal of Computational Chemistry. 37 (2016) 17 - p. 1537-1551 , 2016

Link: https://doi.org/10.1002/..