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

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 struc...

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Autores principales: Kurcinski, Mateusz, Kmiecik, Sebastian, Zalewski, Mateusz, Kolinski, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306105/
https://www.ncbi.nlm.nih.gov/pubmed/34298961
http://dx.doi.org/10.3390/ijms22147341
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author Kurcinski, Mateusz
Kmiecik, Sebastian
Zalewski, Mateusz
Kolinski, Andrzej
author_facet Kurcinski, Mateusz
Kmiecik, Sebastian
Zalewski, Mateusz
Kolinski, Andrzej
author_sort Kurcinski, Mateusz
collection PubMed
description 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.
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spelling pubmed-83061052021-07-25 Protein–Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations Kurcinski, Mateusz Kmiecik, Sebastian Zalewski, Mateusz Kolinski, Andrzej Int J Mol Sci Article 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. MDPI 2021-07-08 /pmc/articles/PMC8306105/ /pubmed/34298961 http://dx.doi.org/10.3390/ijms22147341 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kurcinski, Mateusz
Kmiecik, Sebastian
Zalewski, Mateusz
Kolinski, Andrzej
Protein–Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations
title Protein–Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations
title_full Protein–Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations
title_fullStr Protein–Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations
title_full_unstemmed Protein–Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations
title_short Protein–Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations
title_sort protein–protein docking with large-scale backbone flexibility using coarse-grained monte-carlo simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306105/
https://www.ncbi.nlm.nih.gov/pubmed/34298961
http://dx.doi.org/10.3390/ijms22147341
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