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PixelDB: Protein-peptide complexes annotated with structural conservation of the peptide binding mode.
Frappier, Vincent; Duran, Madeleine; Keating, Amy E.
Afiliación
  • Frappier V; MIT Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Duran M; MIT Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Keating AE; MIT Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Protein Sci ; 27(1): 276-285, 2018 01.
Article en En | MEDLINE | ID: mdl-29024246
ABSTRACT
PixelDB, the Peptide Exosite Location Database, compiles 1966 non-redundant, high-resolution structures of protein-peptide complexes filtered to minimize the impact of crystal packing on peptide conformation. The database is organized to facilitate study of structurally conserved versus non-conserved elements of protein-peptide engagement. PixelDB clusters complexes based on the structural similarity of the peptide-binding protein, and by comparing complexes within a cluster highlights examples of domains that engage peptides using more than one binding mode. PixelDB also identifies conserved peptide core structural motifs characteristic of each binding mode. Peptide regions that flank core motifs often make non-structurally conserved interactions with the protein surface in regions we call exosites. Many examples establish that exosite contacts can be important for enhancing protein binding and interaction specificity. PixelDB provides a resource for computational and structural biologists to study, model, and predict core-motif and exosite-contacting peptide interactions. PixelDB is available to the community without restriction in a convenient flat-file format with accompanying visualization tools.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Péptidos / Proteínas / Modelos Moleculares / Bases de Datos de Proteínas / Complejos Multiproteicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Protein Sci Asunto de la revista: BIOQUIMICA Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Péptidos / Proteínas / Modelos Moleculares / Bases de Datos de Proteínas / Complejos Multiproteicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Protein Sci Asunto de la revista: BIOQUIMICA Año: 2018 Tipo del documento: Article