Computational prediction of nsSNPs effects on protein function and structure, a prioritization approach for further in vitro studies applied to bovine GSTP1

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The development of high-throughput technologies in the last decade produced an exponential increase in the amount of biological data available. The case of redox biology and apoptosis is not an exception, and nowadays there is a need to integrate information from multiple “omics” studies. Therefore,...

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Detalles Bibliográficos
Otros Autores:	Falomir Lockhart, A. H., Villegas Castagnaso, E. E., Giovambattista, Guillermo, Rogberg Muñoz, Andrés
Formato:	Artículo
Lenguaje:	Inglés
Materias:	IN SILICO STUDY NSSNPS PROTEIN GSTP1 APOPTOSIS OXIDATIVE STRESS
Acceso en línea:	http://ri.agro.uba.ar/files/intranet/articulo/2018falomirlockhart.pdf LINK AL EDITOR
Aporte de:	Registro referencial: Solicitar el recurso aquí Biblioteca Central (FAUBA) de Universidad de Buenos Aires

Computational prediction of nsSNPs effects on protein function and structure, a prioritization approach for further in vitro studies applied to bovine GSTP1

Aportado por: Biblioteca Central (FAUBA)

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LINK AL EDITOR

Artículo

Computational prediction of nsSNPs effects on protein function and structure, a prioritization approach for further in vitro studies applied to bovine GSTP1

por Falomir Lockhart, Agustín Horacio, Villegas Castagnasso, Egle Etel, Giovambattista, Guillermo, Rogberg Muñoz, Andrés
Publicado 2018

Aportado por: SEDICI (UNLP)

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Articulo

Computational prediction of nsSNPs effects on protein function and structure, a prioritization approach for further in vitro studies applied to bovine GSTP1

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