POINT: a database for the prediction of protein-protein interactions based on the orthologous interactome.
Bioinformatics
; 20(17): 3273-6, 2004 Nov 22.
Article
en En
| MEDLINE
| ID: mdl-15217821
ABSTRACT
One possible path towards understanding the biological function of a target protein is through the discovery of how it interfaces within protein-protein interaction networks. The goal of this study was to create a virtual protein-protein interaction model using the concepts of orthologous conservation (or interologs) to elucidate the interacting networks of a particular target protein. POINT (the prediction of interactome database) is a functional database for the prediction of the human protein-protein interactome based on available orthologous interactome datasets. POINT integrates several publicly accessible databases, with emphasis placed on the extraction of a large quantity of mouse, fruit fly, worm and yeast protein-protein interactions datasets from the Database of Interacting Proteins (DIP), followed by conversion of them into a predicted human interactome. In addition, protein-protein interactions require both temporal synchronicity and precise spatial proximity. POINT therefore also incorporates correlated mRNA expression clusters obtained from cell cycle microarray databases and subcellular localization from Gene Ontology to further pinpoint the likelihood of biological relevance of each predicted interacting sets of protein partners.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Interfaz Usuario-Computador
/
Almacenamiento y Recuperación de la Información
/
Alineación de Secuencia
/
Proteoma
/
Análisis de Secuencia de Proteína
/
Mapeo de Interacción de Proteínas
/
Bases de Datos de Proteínas
Tipo de estudio:
Evaluation_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2004
Tipo del documento:
Article
País de afiliación:
China