Mining for Potent Inhibitors through Artificial Intelligence and Physics: A Unified Methodology for Ligand Based and Structure Based Drug Design.
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| Title: | Mining for Potent Inhibitors through Artificial Intelligence and Physics: A Unified Methodology for Ligand Based and Structure Based Drug Design. |
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| Authors: | Li J; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States., Zhang O; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States., Sun K; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States., Wang Y; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States., Guan X; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States., Bagni D; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States., Haghighatlari M; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States., Kearns FL; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States., Parks C; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States., Amaro RE; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States., Head-Gordon T; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.; Departments of Bioengineering and Chemical and Biomolecular Engineering, University of California, Berkeley, California 94720, United States. |
| Source: | Journal of chemical information and modeling [J Chem Inf Model] 2024 Dec 23; Vol. 64 (24), pp. 9082-9097. Date of Electronic Publication: 2024 Jun 06. |
| 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: 38843070 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mining for Potent Inhibitors through Artificial Intelligence and Physics: A Unified Methodology for Ligand Based and Structure Based Drug Design. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.<br /><searchLink fieldCode="AU" term="%22Zhang+O%22">Zhang O</searchLink>; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.<br /><searchLink fieldCode="AU" term="%22Sun+K%22">Sun K</searchLink>; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.<br /><searchLink fieldCode="AU" term="%22Guan+X%22">Guan X</searchLink>; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.<br /><searchLink fieldCode="AU" term="%22Bagni+D%22">Bagni D</searchLink>; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.<br /><searchLink fieldCode="AU" term="%22Haghighatlari+M%22">Haghighatlari M</searchLink>; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.<br /><searchLink fieldCode="AU" term="%22Kearns+FL%22">Kearns FL</searchLink>; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.<br /><searchLink fieldCode="AU" term="%22Parks+C%22">Parks C</searchLink>; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.<br /><searchLink fieldCode="AU" term="%22Amaro+RE%22">Amaro RE</searchLink>; Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093, United States.<br /><searchLink fieldCode="AU" term="%22Head-Gordon+T%22">Head-Gordon T</searchLink>; Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, California 94720, United States.; Departments of Bioengineering and Chemical and Biomolecular Engineering, University of California, Berkeley, California 94720, 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] 2024 Dec 23; Vol. 64 (24), pp. 9082-9097. <i>Date of Electronic Publication: </i>2024 Jun 06. – 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=38843070 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/acs.jcim.4c00634 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 9082 Titles: – TitleFull: Mining for Potent Inhibitors through Artificial Intelligence and Physics: A Unified Methodology for Ligand Based and Structure Based Drug Design. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li J – PersonEntity: Name: NameFull: Zhang O – PersonEntity: Name: NameFull: Sun K – PersonEntity: Name: NameFull: Wang Y – PersonEntity: Name: NameFull: Guan X – PersonEntity: Name: NameFull: Bagni D – PersonEntity: Name: NameFull: Haghighatlari M – PersonEntity: Name: NameFull: Kearns FL – PersonEntity: Name: NameFull: Parks C – PersonEntity: Name: NameFull: Amaro RE – PersonEntity: Name: NameFull: Head-Gordon T IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 12 Text: 2024 Dec 23 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1549-960X Numbering: – Type: volume Value: 64 – Type: issue Value: 24 Titles: – TitleFull: Journal of chemical information and modeling Type: main |
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