Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches.

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Title: Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches.
Authors: Hazemann, Julien, Kimmerlin, Thierry, Lange, Roland, Sweeney, Aengus Mac, Bourquin, Geoffroy, Ritz, Daniel, Czodrowski, Paul
Source: RSC Medicinal Chemistry; Jun2024, Vol. 15 Issue 6, p2146-2159, 14p
Database: Complementary Index
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  Data: RSC Medicinal Chemistry; Jun2024, Vol. 15 Issue 6, p2146-2159, 14p
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      – Type: doi
        Value: 10.1039/d4md00106k
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      – Code: eng
        Text: English
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      – TitleFull: Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches.
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            NameFull: Hazemann, Julien
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            NameFull: Kimmerlin, Thierry
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            NameFull: Lange, Roland
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            NameFull: Sweeney, Aengus Mac
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            NameFull: Bourquin, Geoffroy
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            NameFull: Ritz, Daniel
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            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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            – TitleFull: RSC Medicinal Chemistry
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