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GUILDify: a web server for phenotypic characterization of genes through biological data integration and network-based prioritization algorithms.
Guney, Emre; Garcia-Garcia, Javier; Oliva, Baldo.
Afiliación
  • Guney E; Departament de Ciencies Experimentals i de la Salut, Structural Bioinformatics Group (GRIB-IMIM), Universitat Pompeu Fabra, Barcelona, 08003 Catalonia, Spain.
  • Garcia-Garcia J; Departament de Ciencies Experimentals i de la Salut, Structural Bioinformatics Group (GRIB-IMIM), Universitat Pompeu Fabra, Barcelona, 08003 Catalonia, Spain.
  • Oliva B; Departament de Ciencies Experimentals i de la Salut, Structural Bioinformatics Group (GRIB-IMIM), Universitat Pompeu Fabra, Barcelona, 08003 Catalonia, Spain.
Bioinformatics ; 30(12): 1789-90, 2014 Jun 15.
Article en En | MEDLINE | ID: mdl-24532728
SUMMARY: Determining genetic factors underlying various phenotypes is hindered by the involvement of multiple genes acting cooperatively. Over the past years, disease-gene prioritization has been central to identify genes implicated in human disorders. Special attention has been paid on using physical interactions between the proteins encoded by the genes to link them with diseases. Such methods exploit the guilt-by-association principle in the protein interaction network to uncover novel disease-gene associations. These methods rely on the proximity of a gene in the network to the genes associated with a phenotype and require a set of initial associations. Here, we present GUILDify, an easy-to-use web server for the phenotypic characterization of genes. GUILDify offers a prioritization approach based on the protein-protein interaction network where the initial phenotype-gene associations are retrieved via free text search on biological databases. GUILDify web server does not restrict the prioritization to any predefined phenotype, supports multiple species and accepts user-specified genes. It also prioritizes drugs based on the ranking of their targets, unleashing opportunities for repurposing drugs for novel therapies. AVAILABILITY AND IMPLEMENTATION: Available online at http://sbi.imim.es/GUILDify.php
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fenotipo / Algoritmos / Programas Informáticos / Enfermedad / Mapas de Interacción de Proteínas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fenotipo / Algoritmos / Programas Informáticos / Enfermedad / Mapas de Interacción de Proteínas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: España