UNRES-Dock-protein-protein and peptide-protein docking by coarse-grained replica-exchange MD simulations.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
12 07 2021
12 07 2021
Historique:
received:
01
03
2020
revised:
04
09
2020
accepted:
06
10
2020
pubmed:
21
10
2020
medline:
16
7
2021
entrez:
20
10
2020
Statut:
ppublish
Résumé
The majority of the proteins in living organisms occur as homo- or hetero-multimeric structures. Although there are many tools to predict the structures of single-chain proteins or protein complexes with small ligands, peptide-protein and protein-protein docking is more challenging. In this work, we utilized multiplexed replica-exchange molecular dynamics (MREMD) simulations with the physics-based heavily coarse-grained UNRES model, which provides more than a 1000-fold simulation speed-up compared with all-atom approaches to predict structures of protein complexes. We present a new protein-protein and peptide-protein docking functionality of the UNRES package, which includes a variable degree of conformational flexibility. UNRES-Dock protocol was tested on a set of 55 complexes with size from 43 to 587 amino-acid residues, showing that structures of the complexes can be predicted with good quality, if the sampling of the conformational space is sufficient, especially for flexible peptide-protein systems. The developed automatized protocol has been implemented in the standalone UNRES package and in the UNRES server. UNRES server: http://unres-server.chem.ug.edu.pl; UNRES package and data used in testing of UNRES-Dock: http://unres.pl. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 33079977
pii: 5929691
doi: 10.1093/bioinformatics/btaa897
doi:
Substances chimiques
Peptides
0
Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1613-1615Subventions
Organisme : National Science Center of Poland (Narodowe Centrum Nauki)
ID : DEC-2015/17/N/ST4/03937
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.