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IMEx Databases: Displaying Molecular Interactions into a Single, Standards-Compliant Dataset.
Porras, Pablo; Orchard, Sandra; Licata, Luana.
Afiliación
  • Porras P; European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK.
  • Orchard S; European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK.
  • Licata L; Department of Biology, University of Rome Tor Vergata, Rome, Italy. luana.licata@uniroma2.it.
Methods Mol Biol ; 2449: 27-42, 2022.
Article en En | MEDLINE | ID: mdl-35507258
Molecular interaction databases aim to systematically capture and organize the experimental interaction information described in the scientific literature. These data can then be used to perform network analysis, to assign putative roles to uncharacterized proteins and to investigate their involvement in cellular pathways.This chapter gives a brief overview of publicly available molecular interaction databases and focuses on the members of the IMEx Consortium, on their curation policies and standard data formats. All of the goals achieved by IMEx databases over the last 15 years, the data types provided and the many different ways in which such data can be utilized by the research community, are described in detail. The IMEx databases curate molecular interaction data to the highest caliber, following a detailed curation model and supplying rich metadata by employing common curation rules and harmonized standards. The IMEx Consortium provides comprehensively annotated molecular interaction data integrated into a single, non-redundant, open access dataset.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Mapeo de Interacción de Proteínas Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Mapeo de Interacción de Proteínas Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article