Draft:John J. Irwin
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Submission declined on 28 July 2024 by Notcharizard (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
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Submission declined on 27 July 2024 by SafariScribe (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. Declined by SafariScribe 2 months ago. |
- Comment: All of the citations are primary sources, which do not show notability. -- NotCharizard 🗨 10:49, 28 July 2024 (UTC)
John Joseph Irwin | |
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Born | May 13, 1963 |
Education | |
Known for | |
Scientific career | |
Fields | Computational chemistry |
Institutions | |
Thesis | "The Cambridge Structural Database as a new scientific tool" (1991) |
Doctoral advisor | Jack Dunitz |
John J. Irwin is a Canadian computational chemist and an associate professor in the Department of Pharmaceutical Chemistry at the University of California, San Francisco. He specializes in the development of drug design methods using both structure-based and ligand-based approaches. Irwin has contributed to several projects and collaborations in the field of computational chemistry.
Biography
Irwin earned his Ph.D. in organic chemistry under the supervision of Jack D. Dunitz at ETH Zurich in 1991.[1] He worked at a molecular modeling start-up before joining Gérard Bricogne's team at the MRC Laboratory of Molecular Biology, where he developed software for macromolecular crystallographic structure solution and refinement, including the BUSTER and SHARP programs.[2] Irwin later served as a staff scientist at the European Bioinformatics Institute (EMBL-EBI) in Cambridge. In 2000, he moved to the Northwestern University Medical School. He later moved to the UCSF Department of Pharmaceutical Chemistry, where he uses virtual screening to find ligands for biological targets.[3][4] Since then, he has worked on the development of DOCK[5], ZINC[6], and the similarity ensemble approach (SEA)[7]. [8]
References
- ^ "The Cambridge Structural Database as a new scientific tool". Retrieved 2024-07-27.
- ^ "New improved interface now available for SHARP". Retrieved 2024-07-27.
- ^ "$25 million federal defense grant funds anesthesia innovation". Retrieved 2024-07-30.
- ^ "'Virtual Pharmacology' Yields Unprecedented Biological Clock Breakthrough". Retrieved 2024-07-30.
- ^ "A practical guide to large-scale docking". Nature. 2021. Retrieved 2024-07-26.
- ^ "ZINC: A Free Tool to Discover Chemistry for Biology". Journal of Chemical Information and Modeling. 2012.
- ^ "Quantifying the relationships among drug classes". Nature. 2009.
- ^ "John J. Irwin's ORCID profile". Retrieved 2024-07-27.
External links
- [John Irwin's Lab at UCSF](https://irwinlab.compbio.ucsf.edu/people)