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

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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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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164661875
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        Value: 10.1007/s10822-023-00512-6
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      – Code: eng
        Text: English
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              M: 08
              Text: Aug2023
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              Y: 2023
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              Value: 37
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