ISSN Print 2500–1094
ISSN Online 2542–1204
BIOMEDICAL JOURNAL OF PIROGOV UNIVERSITY (MOSCOW, RUSSIA)
Copyright: © 2024 by the authors. Licensee: Pirogov University.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (CC BY).
OPINION
Deep learning in modelling the protein–ligand interaction: new pathways in drug development
About authors
1 Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia
2 Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia
3 Pirogov Russian National Research Medical University, Moscow, Russia
Correspondence should be addressed: Zinaida Mikhailovna Osipova
Miklukho-Maklaya, 16/10, Moscow, 117997, Russia; ur.hcbi@avoksakz
About paper
Funding: the study was supported by the Russian Science Foundation grant, project № 22-44-02024 (https://rscf.ru/project/22-44-02024/).
Author contribution: Barykin AD — literature review, manuscript writing, Chepurnykh TV — concept, literature review, manuscript writing and editing, Osipova ZM — project management, manuscript editing.
Received: 2023-12-06
Accepted: 2024-01-22
Published online: 2024-02-08
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