Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
Author:
Affiliation:
1. School of Informatics, University of Skövde, 541 28 Skövde, Sweden
2. Medicinal Chemistry, Early Cardiovascular, Renal and Metabolism, R&D BioPharmaceuticals, AstraZeneca, 431 83 Mölndal, Sweden
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.9b00325
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