Work

Automating Deep Learning-Based Generation and Evaluation of De Novo Chemical Reaction with ChemRxnSAGE

Year: 2025

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.5c01692

Authors: Anis Ismail, Joe Tekli, Brigitte Wex

Institutions: Lebanese American University, KU Leuven

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4415301577

FWCI: 0.48

Cites: 44

Cited by: 1

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