chenxingqiang/Awesome_AI_Aided_Drug_Design_Papers

https://chenxingqiang.github.io/Awesome_AI_Aided_Drug_Design_Papers/ focusing on ai, gnn, drug, Virtual Screening, Journals.

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This resource helps drug discovery scientists and researchers stay current with the latest advancements in AI-aided drug design. It curates academic papers, often with associated code, from various journals and arXiv, focusing on areas like adverse drug reaction prediction, drug-target interaction, and de novo drug design. It serves as a central hub for those working to develop new medications more efficiently.

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Use this if you are a pharmaceutical researcher or computational chemist looking for cutting-edge machine learning and AI research applied to drug discovery and development.

Not ideal if you are looking for ready-to-use software tools or direct APIs for drug design, as this is primarily a curated list of research papers.

drug-discovery pharmacology cheminformatics computational-chemistry toxicology
No License Stale 6m No Package No Dependents
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Last pushed

Mar 09, 2020

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