Autoparty: Machine Learning-Guided Visual Inspection of Molecular Docking Results.
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| Title: | Autoparty: Machine Learning-Guided Visual Inspection of Molecular Docking Results. |
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| Authors: | Shub L; Department of Pharmaceutical Chemistry, Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, California 94158, United States.; Department of Bioengineering and Therapeutic Sciences, Bakar Health Sciences Institute; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, California 94158, United States., Korczynska M; Medicine Design, Pfizer Research & Development, Cambridge, Massachusetts 02139, United States., Muir DF; Department of Pharmaceutical Chemistry, Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, California 94158, United States.; Department of Bioengineering and Therapeutic Sciences, Bakar Health Sciences Institute; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, California 94158, United States., Lin FY; Medicine Design, Pfizer Research & Development, Cambridge, Massachusetts 02139, United States., Hall BW; Department of Pharmaceutical Chemistry, Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, California 94158, United States.; Department of Bioengineering and Therapeutic Sciences, Bakar Health Sciences Institute; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, California 94158, United States., Mathiowetz AM; Medicine Design, Pfizer Research & Development, Cambridge, Massachusetts 02139, United States., Keiser MJ; Department of Pharmaceutical Chemistry, Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, California 94158, United States.; Department of Bioengineering and Therapeutic Sciences, Bakar Health Sciences Institute; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, California 94158, United States. |
| Source: | Journal of chemical information and modeling [J Chem Inf Model] 2025 Aug 11; Vol. 65 (15), pp. 7817-7826. Date of Electronic Publication: 2025 Jul 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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