The DOI matches its Crossref record; 22 of the 23 references it cites were found in a registry or an index.
Assessing the impact of generative AI on medicinal chemistry
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Citations
Cites
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Sorted by citations
Generative artificial intelligence
Banh, L., & Strobel, G. (2023) · Electronic Markets · doi:10.1007/s12525-023-00680-1 · Cited by 879
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Self-citationBengesi, S., El-Sayed, H., Sarker, M. K., Houkpati, Y., Irungu, J., & Oladunni, T. (2024) · IEEE Access · doi:10.1109/access.2024.3397775 · Cited by 470
Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis
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Metadata
- Authors
- Walters, W. P., & Murcko, M.
- Affiliations
- Relay Therapeutics (United States) (US)
- Corresponding author
- Walters, W. Patrick
- Venue
- Nature Biotechnology
- Published
- 2020-01-30
- Volume
- 38
- Issue
- 2
- Pages
- 143-145
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W3003906593
- Cited by
- 262
- References
- 23
- Citations by year
- 2026: 60 · 2025: 40 · 2024: 43 · 2023: 35 · 2022: 21 · 2021: 37 · 2020: 25
- Type
- dissertation
- Language
- en
- Open access
- closed
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Keywords
- generative AI, medicinal chemistry, drug discovery, structure-based drug design, reinforcement learning, adenosine A2A receptor, AI impact assessment
- MeSH terms
- Artificial Intelligence, Chemistry, Pharmaceutical, Humans, Inhibitory Concentration 50, Quantitative Structure-Activity Relationship, Cell Line, Tumor, Protein Kinase Inhibitors, Drug Discovery
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