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The pepATTRACT web server for blind, large-scale peptide-protein docking.
de Vries, Sjoerd J; Rey, Julien; Schindler, Christina E M; Zacharias, Martin; Tuffery, Pierre.
Afiliação
  • de Vries SJ; INSERM UMR-S 973/Université Paris Diderot/Sorbonne Paris Cité/RPBS, Paris 75205, France.
  • Rey J; INSERM UMR-S 973/Université Paris Diderot/Sorbonne Paris Cité/RPBS, Paris 75205, France.
  • Schindler CEM; Physik T38, Technische Universität München, Garching 85748, Germany.
  • Zacharias M; Physik T38, Technische Universität München, Garching 85748, Germany.
  • Tuffery P; INSERM UMR-S 973/Université Paris Diderot/Sorbonne Paris Cité/RPBS, Paris 75205, France.
Nucleic Acids Res ; 45(W1): W361-W364, 2017 07 03.
Article em En | MEDLINE | ID: mdl-28460116
ABSTRACT
Peptide-protein interactions are ubiquitous in the cell and form an important part of the interactome. Computational docking methods can complement experimental characterization of these complexes, but current protocols are not applicable on the proteome scale. pepATTRACT is a novel docking protocol that is fully blind, i.e. it does not require any information about the binding site. In various stages of its development, pepATTRACT has participated in CAPRI, making successful predictions for five out of seven protein-peptide targets. Its performance is similar or better than state-of-the-art local docking protocols that do require binding site information. Here we present a novel web server that carries out the rigid-body stage of pepATTRACT. On the peptiDB benchmark, the web server generates a correct model in the top 50 in 34% of the cases. Compared to the full pepATTRACT protocol, this leads to some loss of performance, but the computation time is reduced from ∼18 h to ∼10 min. Combined with the fact that it is fully blind, this makes the web server well-suited for large-scale in silico protein-peptide docking experiments. The rigid-body pepATTRACT server is freely available at http//bioserv.rpbs.univ-paris-diderot.fr/services/pepATTRACT.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Software / Proteínas / Simulação de Acoplamento Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Software / Proteínas / Simulação de Acoplamento Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2017 Tipo de documento: Article País de afiliação: França