Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES.

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Bibliographic Details
Title: Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES.
Authors: Bjerrum, Esben Jannik1, esben@odysseytx.com, Margreitter, Christian1, Blaschke, Thomas1, Kolarova, Simona1, de Castro, Raquel López-Ríos1,2
Source: Journal of Computer-Aided Molecular Design; Aug2023, Vol. 37 Issue 8, p373-394, 22p
Database: Applied Science & Technology Source
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ISSN:0920654X
DOI:10.1007/s10822-023-00512-6