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Ligand-Based Drug Discovery Leveraging State-of-the-Art Machine Learning Methodologies Exemplified by Cdr1 Inhibitor Prediction

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Year: 2025
Type: article
Source: Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.5c00374
Authors: The-Chuong Trinh, Pierre Falson, Viet-Khoa Tran-Nguyen, Ahcène Boumendjel
Institutions: Inserm, Université Grenoble Alpes, Lyon 1 Université, Centre National de la Recherche Scientifique, Institut de Biologie et de Chimie des Protéines, Microbiologie moléculaire et biochimie structurale, Université Paris Cité, Unit of Functional and Adaptive Biology, Physiologie De L'Axe Gonadotrope
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: Université Grenoble Alpes
OpenAlex ID: W4409521513
FWCI: 2.859
Cites: 73
Cited by: 6
Related to: 10
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