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sc-PDB: a database for identifying variations and multiplicity of 'druggable' binding sites in proteins.
Meslamani, Jamel; Rognan, Didier; Kellenberger, Esther.
Afiliación
  • Meslamani J; Structural Chemogenomics Group, Laboratory of Therapeutic Innovation, UMR7200 CNRS/University of Strasbourg, Faculté de Pharmacie, Illkirch, France.
Bioinformatics ; 27(9): 1324-6, 2011 May 01.
Article en En | MEDLINE | ID: mdl-21398668
ABSTRACT

BACKGROUND:

The sc-PDB database is an annotated archive of druggable binding sites extracted from the Protein Data Bank. It contains all-atoms coordinates for 8166 protein-ligand complexes, chosen for their geometrical and physico-chemical properties. The sc-PDB provides a functional annotation for proteins, a chemical description for ligands and the detailed intermolecular interactions for complexes. The sc-PDB now includes a hierarchical classification of all the binding sites within a functional class.

METHOD:

The sc-PDB entries were first clustered according to the protein name indifferent of the species. For each cluster, we identified dissimilar sites (e.g. catalytic and allosteric sites of an enzyme). SCOPE AND APPLICATIONS The classification of sc-PDB targets by binding site diversity was intended to facilitate chemogenomics approaches to drug design. In ligand-based approaches, it avoids comparing ligands that do not share the same binding site. In structure-based approaches, it permits to quantitatively evaluate the diversity of the binding site definition (variations in size, sequence and/or structure).

AVAILABILITY:

The sc-PDB database is freely available at http//bioinfo-pharma.u-strasbg.fr/scPDB.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sitios de Unión / Diseño de Fármacos / Proteínas / Bases de Datos de Proteínas Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2011 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sitios de Unión / Diseño de Fármacos / Proteínas / Bases de Datos de Proteínas Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2011 Tipo del documento: Article País de afiliación: Francia