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InteroPORC: automated inference of highly conserved protein interaction networks.
Michaut, Magali; Kerrien, Samuel; Montecchi-Palazzi, Luisa; Chauvat, Franck; Cassier-Chauvat, Corinne; Aude, Jean-Christophe; Legrain, Pierre; Hermjakob, Henning.
Afiliación
  • Michaut M; CEA, IBITECS, Gif sur Yvette, F-91191, France. michaut.bioinfo@gmail.com
Bioinformatics ; 24(14): 1625-31, 2008 Jul 15.
Article en En | MEDLINE | ID: mdl-18508856
ABSTRACT
MOTIVATION Protein-protein interaction networks provide insights into the relationships between the proteins of an organism thereby contributing to a better understanding of cellular processes. Nevertheless, large-scale interaction networks are available for only a few model organisms. Thus, interologs are useful for a systematic transfer of protein interaction networks between organisms. However, no standard tool is available so far for that purpose.

RESULTS:

In this study, we present an automated prediction tool developed for all sequenced genomes available in Integr8. We also have developed a second method to predict protein-protein interactions in the widely used cyanobacterium Synechocystis. Using these methods, we have constructed a new network of 8783 inferred interactions for Synechocystis.

AVAILABILITY:

InteroPORC is open-source, downloadable and usable through a web interface at http//biodev.extra.cea.fr/interoporc/.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas / Cianobacterias / Biología Computacional / Mapeo de Interacción de Proteínas / Synechocystis Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2008 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas / Cianobacterias / Biología Computacional / Mapeo de Interacción de Proteínas / Synechocystis Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2008 Tipo del documento: Article País de afiliación: Francia