Bacterial protein meta-interactomes predict cross-species interactions and protein function.

Caufield, J Harry; Wimble, Christopher; Shary, Semarjit; Wuchty, Stefan; Uetz, Peter

Caufield, J Harry; Wimble, Christopher; Shary, Semarjit; Wuchty, Stefan; Uetz, Peter.

Afiliación

Caufield JH; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA.
Wimble C; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA.
Shary S; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA.
Wuchty S; Department of Computer Science, University of Miami, Coral Gables, Florida, USA.
Uetz P; Center for Computational Science, University of Miami, Coral Gables, Florida, USA.

BMC Bioinformatics ; 18(1): 171, 2017 Mar 16.

Article en En | MEDLINE | ID: mdl-28298180

Asunto(s)

Bacterias/metabolismo; Proteínas Bacterianas/metabolismo; Mapeo de Interacción de Proteínas/métodos; Bacillus subtilis/metabolismo; Proteínas Bacterianas/química; Evolución Molecular; Humanos; Proteoma/metabolismo; Salmonella enterica/metabolismo

Palabras clave

Genome evolution; Interactome; Networks; Protein interactions

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Bacterias / Proteínas Bacterianas / Mapeo de Interacción de Proteínas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

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