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Generative AI for the Design of Molecules:...
Journal article

Generative AI for the Design of Molecules: Advances and Challenges

Abstract

The design of novel molecules underpins advances in both drug discovery and biomaterials engineering. Traditional approaches, from natural product isolation to high-throughput screening, have delivered important therapeutics but remain costly, inefficient, and limited in exploring the chemical and biomolecular space. While predictive machine learning models improved aspects of discovery, they cannot fully address the complexity of modern …

Authors

Sun Y; Chen L; Jing Z; Li YY; Kim D; Gao J-Y; Noroozi R; Yi GY; Feugmo CGT; Klinkova A

Journal

Journal of Chemical Information and Modeling, Vol. 65, No. 23, pp. 12668–12690

Publisher

American Chemical Society (ACS)

Publication Date

December 8, 2025

DOI

10.1021/acs.jcim.5c02234

ISSN

1549-9596