Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors

Research article (Scientific Reports, 2020) · cited 97× · AI/ML
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Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors

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Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors. Retrieved May 24, 2026, from https://4ort.xyz/entity/autonomous-molecule-generation-using-reinforcement-learning-and-docking-to-develop-potential-novel-inhibitors
MLA “Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/autonomous-molecule-generation-using-reinforcement-learning-and-docking-to-develop-potential-novel-inhibitors.
BibTeX @misc{4ortxyz_autonomous-molecule-generation-using-reinforcement-learning-and-docking-to-develop-potential-novel-inhibitors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors}}, year = {2026}, url = {https://4ort.xyz/entity/autonomous-molecule-generation-using-reinforcement-learning-and-docking-to-develop-potential-novel-inhibitors}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors — https://4ort.xyz/entity/autonomous-molecule-generation-using-reinforcement-learning-and-docking-to-develop-potential-novel-inhibitors (retrieved 2026-05-24)

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