Your browser doesn't support javascript.
loading
Protein-peptide docking using CABS-dock and contact information.
Blaszczyk, Maciej; Ciemny, Maciej Pawel; Kolinski, Andrzej; Kurcinski, Mateusz; Kmiecik, Sebastian.
Afiliação
  • Blaszczyk M; Biological and Chemical Research Centre, University of Warsaw.
  • Ciemny MP; Faculty of Physics at the University of Warsaw.
  • Kolinski A; University of Warsaw.
  • Kurcinski M; Biological and Chemical Research Centre, University of Warsaw.
  • Kmiecik S; Biological and Chemical Research Centre, University of Warsaw.
Brief Bioinform ; 20(6): 2299-2305, 2019 11 27.
Article em En | MEDLINE | ID: mdl-30247502
CABS-dock is a computational method for protein-peptide molecular docking that does not require predefinition of the binding site. The peptide is treated as fully flexible, while the protein backbone undergoes small fluctuations and, optionally, large-scale rearrangements. Here, we present a specific CABS-dock protocol that enhances the docking procedure using fragmentary information about protein-peptide contacts. The contact information is used to narrow down the search for the binding peptide pose to the proximity of the binding site. We used information on a single-chosen and randomly chosen native protein-peptide contact to validate the protocol on the peptiDB benchmark. The contact information significantly improved CABS-dock performance. The protocol has been made available as a new feature of the CABS-dock web server (at http://biocomp.chem.uw.edu.pl/CABSdock/). SHORT ABSTRACT: CABS-dock is a tool for flexible docking of peptides to proteins. In this article, we present a protocol for CABS-dock docking driven by information about protein-peptide contact(s). Using information on individual protein-peptide contacts allows to improve the accuracy of CABS-dock docking.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Proteínas / Simulação de Acoplamento Molecular Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Proteínas / Simulação de Acoplamento Molecular Idioma: En Ano de publicação: 2019 Tipo de documento: Article