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. |
|---|---|
| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40729553 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Autoparty: Machine Learning-Guided Visual Inspection of Molecular Docking Results. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shub+L%22">Shub L</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Korczynska+M%22">Korczynska M</searchLink>; Medicine Design, Pfizer Research & Development, Cambridge, Massachusetts 02139, United States.<br /><searchLink fieldCode="AU" term="%22Muir+DF%22">Muir DF</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lin+FY%22">Lin FY</searchLink>; Medicine Design, Pfizer Research & Development, Cambridge, Massachusetts 02139, United States.<br /><searchLink fieldCode="AU" term="%22Hall+BW%22">Hall BW</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Mathiowetz+AM%22">Mathiowetz AM</searchLink>; Medicine Design, Pfizer Research & Development, Cambridge, Massachusetts 02139, United States.<br /><searchLink fieldCode="AU" term="%22Keiser+MJ%22">Keiser MJ</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101230060%22">Journal of chemical information and modeling</searchLink> [J Chem Inf Model] 2025 Aug 11; Vol. 65 (15), pp. 7817-7826. <i>Date of Electronic Publication: </i>2025 Jul 29. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101230060 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1549-960X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215499596%22">15499596 </searchLink><i>NLM ISO Abbreviation: </i>J Chem Inf Model <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40729553 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/acs.jcim.5c00850 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 7817 Titles: – TitleFull: Autoparty: Machine Learning-Guided Visual Inspection of Molecular Docking Results. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shub L – PersonEntity: Name: NameFull: Korczynska M – PersonEntity: Name: NameFull: Muir DF – PersonEntity: Name: NameFull: Lin FY – PersonEntity: Name: NameFull: Hall BW – PersonEntity: Name: NameFull: Mathiowetz AM – PersonEntity: Name: NameFull: Keiser MJ IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 08 Text: 2025 Aug 11 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1549-960X Numbering: – Type: volume Value: 65 – Type: issue Value: 15 Titles: – TitleFull: Journal of chemical information and modeling Type: main |
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