Protein-Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations

Int J Mol Sci. 2021 Jul 8;22(14):7341. doi: 10.3390/ijms22147341.

Abstract

Most of the protein-protein docking methods treat proteins as almost rigid objects. Only the side-chains flexibility is usually taken into account. The few approaches enabling docking with a flexible backbone typically work in two steps, in which the search for protein-protein orientations and structure flexibility are simulated separately. In this work, we propose a new straightforward approach for docking sampling. It consists of a single simulation step during which a protein undergoes large-scale backbone rearrangements, rotations, and translations. Simultaneously, the other protein exhibits small backbone fluctuations. Such extensive sampling was possible using the CABS coarse-grained protein model and Replica Exchange Monte Carlo dynamics at a reasonable computational cost. In our proof-of-concept simulations of 62 protein-protein complexes, we obtained acceptable quality models for a significant number of cases.

Keywords: coarse-grained modeling; multiscale modeling; protein–protein binding; protein–protein complex; protein–protein interactions.

MeSH terms

  • Molecular Docking Simulation*
  • Molecular Dynamics Simulation*
  • Monte Carlo Method
  • Protein Folding*
  • Proteins / chemistry*

Substances

  • Proteins