E-LIB Suche - Ergebnisse für: Fedorov, Maxim V.

1

Expanding Predictive Capacities in Toxicology: Insights fro..:

Shkil, Dmitrii O. ; Muhamedzhanova, Alina A. ; Petrov, Philipp I....
Molecules. 29 (2024) 8 - p. 1826 , 2024

2

Biphenyl scaffold for the design of NMDA-receptor negative ..:

Karlov, Dmitry S. ; Temnyakova, Nadezhda S. ; Vasilenko, Dmitry A....
RSC Medicinal Chemistry. 13 (2022) 7 - p. 822-830 , 2022

Link: https://doi.org/10.1039/..

3

Image2SMILES: Transformer‐Based Molecular Optical Recogniti..:

Khokhlov, Ivan ; Krasnov, Lev ; Fedorov, Maxim V..
Chemistry–Methods. 2 (2022) 1 - p. , 2022

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

4

Law Enforcement as Discretion and Legal Process:

Makogon, Boris V. ; Aristov, Evgeniy V. ; Chaban, Evgeniy A...
International Journal of Criminology and Sociology. 9 (2022) - p. 1918-1921 , 2022

Link: https://doi.org/10.6000/..

5

An Evaluation of the Concept of Food Chemistry, Nutrition a..:

Belyaeva, Galina S. ; Bidova, Bela B. ; Rudenko, Evgeniya Yu...
International Journal of Life Science and Pharma Research. , 2022

Link: https://doi.org/10.22376..

6

Transformer-based artificial neural networks for the conver..:

Krasnov, Lev ; Khokhlov, Ivan ; Fedorov, Maxim V..
Scientific Reports. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

7

How risky is it to visit a supermarket during the pandemic?:

Tsukanov, Alexey A. ; Senjkevich, Alexandra M. ; Fedorov, Maxim V...
PLOS ONE. 16 (2021) 7 - p. e0253835 , 2021

Link: https://doi.org/10.1371/..

8

Exploring Chemical Reaction Space with Reaction Difference ..:

Andronov, Mikhail ; Fedorov, Maxim V. ; Sosnin, Sergey
ACS Omega. 6 (2021) 45 - p. 30743-30751 , 2021

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

9

Baseline Model for Predicting Protein–Ligand Unbinding Kine..:

Amangeldiuly, Nurlybek ; Karlov, Dmitry ; Fedorov, Maxim V.
Journal of Chemical Information and Modeling. 60 (2020) 12 - p. 5946-5956 , 2020

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

10

Ifenprodil-like NMDA receptor modulator based on the biphen..:

Temnyakova, Nadezhda S. ; Vasilenko, Dmitry A. ; Barygin, Oleg I....
Mendeleev Communications. 30 (2020) 3 - p. 342-343 , 2020

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

11

Graphene–Ionic Liquid Interfacial Potential Drop from Densi..:

Ers, Heigo ; Lembinen, Meeri ; Mišin, Maksim...
The Journal of Physical Chemistry C. 124 (2020) 36 - p. 19548-19555 , 2020

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

12

Role of Graphene Edges in the Electron Transfer Kinetics: I..:

Pavlov, Sergey V. ; Nazmutdinov, Renat R. ; Fedorov, Maxim V..
The Journal of Physical Chemistry C. 123 (2019) 11 - p. 6627-6634 , 2019

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

13

Chemical space exploration guided by deep neural networks:

Karlov, Dmitry S. ; Sosnin, Sergey ; Tetko, Igor V..
RSC Advances. 9 (2019) 9 - p. 5151-5157 , 2019

Link: https://doi.org/10.1039/..

14

Computational characterization of the glutamate receptor an..:

Guseynov, Abdul-Akim D. ; Pisarev, Sergey A. ; Shulga, Dmitry A....
Journal of Molecular Modeling. 25 (2019) 10 - p. , 2019

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

15

NaRIBaS—A Scripting Framework for Computational Modeling of..:

Roos Nerut, Eva ; Karu, Karl ; Voroshylova, Iuliia V....
Computation. 6 (2018) 4 - p. 57 , 2018

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