Work

Identifying Potent Compounds Using Pairwise Consensus Methods

Year: 2025

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.5c00942

Authors: Marc Xu, Chenyang Wu, Shiyu Wang, Wenjin Zhan, Liwei Guo, Yi Li, Horst Vogel, Shuguang Yuan

Institutions: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen University of Advanced Technology, École Polytechnique Fédérale de Lausanne

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Shenzhen Key Laboratory of Neuropsychiatric Modulation

OpenAlex ID: W4410364008

FWCI: 0.496

Cites: 60

Cited by: 1

Related to: 10