Your browser doesn't support javascript.
loading
Finding enzyme cofactors in Protein Data Bank.
Mukhopadhyay, Abhik; Borkakoti, Neera; Pravda, Lukás; Tyzack, Jonathan D; Thornton, Janet M; Velankar, Sameer.
Afiliación
  • Mukhopadhyay A; European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EMBL-EBI), Cambridge, UK.
  • Borkakoti N; European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EMBL-EBI), Cambridge, UK.
  • Pravda L; European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EMBL-EBI), Cambridge, UK.
  • Tyzack JD; European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EMBL-EBI), Cambridge, UK.
  • Thornton JM; European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EMBL-EBI), Cambridge, UK.
  • Velankar S; European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EMBL-EBI), Cambridge, UK.
Bioinformatics ; 35(18): 3510-3511, 2019 09 15.
Article en En | MEDLINE | ID: mdl-30759194
MOTIVATION: Cofactors are essential for many enzyme reactions. The Protein Data Bank (PDB) contains >67 000 entries containing enzyme structures, many with bound cofactor or cofactor-like molecules. This work aims to identify and categorize these small molecules in the PDB and make it easier to find them. RESULTS: The Protein Data Bank in Europe (PDBe; pdbe.org) has implemented a pipeline to identify enzyme cofactor and cofactor-like molecules, which are now part of the PDBe weekly release process. AVAILABILITY AND IMPLEMENTATION: Information is made available on the individual PDBe entry pages at pdbe.org and programmatically through the PDBe REST API (pdbe.org/api). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bases de Datos de Proteínas Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bases de Datos de Proteínas Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article