Artificial intelligence in drug development

2025/01/01 by Kang Zhang, Xin Yang, Yifei Wang +6 · 1 voice · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Cell Image Analysis Techniques #Computational Drug Discovery Methods #Machine Learning in Materials Science

paper · doi:10.1038/s41591-024-03434-4

crossref issued 2025/01/01 · crossref published 2025/01/01 · crossref published-print 2025/01/01 · openalex publication_date 2025/01/01 · crossref published-online 2025/01/20 · crossref created 2025/01/20 · crossref deposited 2025/01/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31 · crossref indexed 2026/07/31

Citations

• Innovation in the pharmaceutical industry: New estimates of R&D costs
• Organic synthesis in a modular robotic system driven by a chemical programming language
• A Deep Learning Approach to Antibiotic Discovery
• <scp>UCSF ChimeraX</scp>: Structure visualization for researchers, educators, and developers
• Harnessing protein folding neural networks for peptide–protein docking
• Scientific discovery in the age of artificial intelligence
• Generalized Biomolecular Modeling and Design with RoseTTAFold All-Atom
• Autonomous chemical research with large language models
• Accurate structure prediction of biomolecular interactions with AlphaFold 3

Cited by

• AI-identified CD133-targeting natural compounds demonstrate differential anti-tumor effects and mechanisms in pan-cancer models
• Why are there no clinically-approved drugs targeting disordered proteins?

Discussions

• Great summary on how AI is impacting drug discovery doi.org/10.1038/s415... [bsky, 2 points, 0 comments]