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A semantic similarity based methodology for predicting protein-protein interactions: Evaluation with P53-interacting kinases.
Cox, Steven; Dong, Xialan; Rai, Ruhi; Christopherson, Laura; Zheng, Weifan; Tropsha, Alexander; Schmitt, Charles.
Afiliação
  • Cox S; Renaissance Computing Institute (RENCI), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Dong X; The Laboratory for Molecular Informatics and Data Sciences, Department of Pharmaceutical Sciences and the BRITE Institute, College of Health and Sciences, North Carolina Central University, Durham, NC 27707, USA.
  • Rai R; Renaissance Computing Institute (RENCI), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Christopherson L; Renaissance Computing Institute (RENCI), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Zheng W; The Laboratory for Molecular Informatics and Data Sciences, Department of Pharmaceutical Sciences and the BRITE Institute, College of Health and Sciences, North Carolina Central University, Durham, NC 27707, USA; UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hi
  • Tropsha A; Renaissance Computing Institute (RENCI), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. Electronic address: alex_tropsha@unc.edu.
  • Schmitt C; Renaissance Computing Institute (RENCI), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: charles.schmitt@nih.gov.
J Biomed Inform ; 111: 103579, 2020 11.
Article em En | MEDLINE | ID: mdl-33007449
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Proteína Supressora de Tumor p53 / Mapas de Interação de Proteínas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Proteína Supressora de Tumor p53 / Mapas de Interação de Proteínas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos