kinCSM: Using graph-based signatures to predict small molecule CDK2 inhibitors.
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| Title: | kinCSM: Using graph-based signatures to predict small molecule CDK2 inhibitors. |
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| Authors: | Zhou Y; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia., Al-Jarf R; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia., Alavi A; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia., Nguyen TB; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia., Rodrigues CHM; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia., Pires DEV; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.; School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia., Ascher DB; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia. |
| Source: | Protein science : a publication of the Protein Society [Protein Sci] 2022 Nov; Vol. 31 (11), pp. e4453. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Cold Spring Harbor Laboratory Press Country of Publication: United States NLM ID: 9211750 Publication Model: Print Cited Medium: Internet ISSN: 1469-896X (Electronic) Linking ISSN: 09618368 NLM ISO Abbreviation: Protein Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36305769 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: kinCSM: Using graph-based signatures to predict small molecule CDK2 inhibitors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Al-Jarf+R%22">Al-Jarf R</searchLink>; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Alavi+A%22">Alavi A</searchLink>; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Nguyen+TB%22">Nguyen TB</searchLink>; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Rodrigues+CHM%22">Rodrigues CHM</searchLink>; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Pires+DEV%22">Pires DEV</searchLink>; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.; School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia.<br /><searchLink fieldCode="AU" term="%22Ascher+DB%22">Ascher DB</searchLink>; School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, Australia.; Structural Biology and Bioinformatics, Department of Biochemistry, University of Melbourne, Melbourne, Victoria, Australia.; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229211750%22">Protein science : a publication of the Protein Society</searchLink> [Protein Sci] 2022 Nov; Vol. 31 (11), pp. e4453. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cold+Spring+Harbor+Laboratory+Press%22">Cold Spring Harbor Laboratory Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9211750 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1469-896X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209618368%22">09618368 </searchLink><i>NLM ISO Abbreviation: </i>Protein Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36305769 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/pro.4453 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e4453 Titles: – TitleFull: kinCSM: Using graph-based signatures to predict small molecule CDK2 inhibitors. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou Y – PersonEntity: Name: NameFull: Al-Jarf R – PersonEntity: Name: NameFull: Alavi A – PersonEntity: Name: NameFull: Nguyen TB – PersonEntity: Name: NameFull: Rodrigues CHM – PersonEntity: Name: NameFull: Pires DEV – PersonEntity: Name: NameFull: Ascher DB IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2022 Nov Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1469-896X Numbering: – Type: volume Value: 31 – Type: issue Value: 11 Titles: – TitleFull: Protein science : a publication of the Protein Society Type: main |
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