A Reinforcement Learning-Guided Genetic Algorithm Integrating Medicinal Chemistry-Inspired Molecular Transformations

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-04-16
DOI
https://doi.org/10.1021/acs.jcim.6c00397
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

A Reinforcement Learning-Guided Genetic Algorithm Integrating Medicinal Chemistry-Inspired Molecular Transformations

Giuseppe Felice Mangiatordi, Adolfo Ancona, Vittoria Nanna, Domenico Alberga et al.
Journal of Chemical Information and Modeling
Computational Drug Discovery Methods
article

A Reinforcement Learning-Guided Genetic Algorithm Integrating Medicinal Chemistry-Inspired Molecular Transformations

Giuseppe Felice Mangiatordi, Adolfo Ancona, Vittoria Nanna, Domenico Alberga, M. Papadopoulos, Maria Cristina Lomuscio
article en

Abstract

No abstract available for this paper.
Journal of Chemical Information and ModelingVol. 66(8)
University of Siena (IT), Institute of Crystallography (IT), University of Bari Aldo Moro (IT)
Ministero dell’Istruzione, dell’Università e della Ricerca
Openalex Percentile: Top 16%
Computational Drug Discovery Methods
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