Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors
Abstract We developed a computational method named Molecule Optimization by Reinforcement Learning and Docking (MORLD) that automatically generates and optimizes lead compounds by combining reinforcement learning and docking to develop predicted novel inhibitors. This model requires only a target pr...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2020
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| Accès en ligne: | https://doaj.org/article/183053f197494873ae10dd6fed21e202 |
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