Work

Chemistry Meets Biology: Cross-Disciplinary Evaluation of Drug Discovery Databases

Year: 2025

Type: article

Study design: Observational Study

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.5c00021

Authors: Andrii V. Kyrsanov, Ihor V. Tkachenko, Nataliya A. Shtil, Konstantin S. Gavrilenko, Olexandr Ye. Pashenko, Duncan B. Judd, Serhiy V. Ryabukhin, Dmytro M. Volochnyuk

Institutions: Taras Shevchenko National University of Kyiv, Enamine (Ukraine), Stevenage Bioscience Catalyst

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Ministry of Education and Science of Ukraine

Award: G1479117883

OpenAlex ID: W4409246925

FWCI: 0.993

Cites: 15

Cited by: 2

Related to: 10