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Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model
We recently proposed a computational procedure to simulate the dissociation of protein/ligand complexes using the dissociation Parallel Cascade Selection Molecular Dynamics simulation (dPaCS-MD) method and to analyze the generated trajectories using the Markov state model (MSM). This procedure, call...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Biophysical Society of Japan
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694779/ https://www.ncbi.nlm.nih.gov/pubmed/35178333 http://dx.doi.org/10.2142/biophysico.bppb-v18.037 |
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author | Hata, Hiroaki Phuoc Tran, Duy Marzouk Sobeh, Mohamed Kitao, Akio |
author_facet | Hata, Hiroaki Phuoc Tran, Duy Marzouk Sobeh, Mohamed Kitao, Akio |
author_sort | Hata, Hiroaki |
collection | PubMed |
description | We recently proposed a computational procedure to simulate the dissociation of protein/ligand complexes using the dissociation Parallel Cascade Selection Molecular Dynamics simulation (dPaCS-MD) method and to analyze the generated trajectories using the Markov state model (MSM). This procedure, called dPaCS-MD/MSM, enables calculation of the dissociation free energy profile and the standard binding free energy. To examine whether this method can reproduce experimentally determined binding free energies for a variety of systems, we used it to investigate the dissociation of three protein/ligand complexes: trypsin/benzamine, FKBP/FK506, and adenosine A(2)(A) receptor/T4E. First, dPaCS-MD generated multiple dissociation pathways within a reasonable computational time for all the complexes, although the complexes differed significantly in the size of the molecules and in intermolecular interactions. Subsequent MSM analyses produced free energy profiles for the dissociations, which provided insights into how each ligand dissociates from the protein. The standard binding free energies obtained by dPaCS-MD/MSM are in good agreement with experimental values for all the complexes. We conclude that dPaCS-MD/MSM can accurately calculate the binding free energies of these complexes. |
format | Online Article Text |
id | pubmed-8694779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Biophysical Society of Japan |
record_format | MEDLINE/PubMed |
spelling | pubmed-86947792022-02-16 Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model Hata, Hiroaki Phuoc Tran, Duy Marzouk Sobeh, Mohamed Kitao, Akio Biophys Physicobiol Regular Article We recently proposed a computational procedure to simulate the dissociation of protein/ligand complexes using the dissociation Parallel Cascade Selection Molecular Dynamics simulation (dPaCS-MD) method and to analyze the generated trajectories using the Markov state model (MSM). This procedure, called dPaCS-MD/MSM, enables calculation of the dissociation free energy profile and the standard binding free energy. To examine whether this method can reproduce experimentally determined binding free energies for a variety of systems, we used it to investigate the dissociation of three protein/ligand complexes: trypsin/benzamine, FKBP/FK506, and adenosine A(2)(A) receptor/T4E. First, dPaCS-MD generated multiple dissociation pathways within a reasonable computational time for all the complexes, although the complexes differed significantly in the size of the molecules and in intermolecular interactions. Subsequent MSM analyses produced free energy profiles for the dissociations, which provided insights into how each ligand dissociates from the protein. The standard binding free energies obtained by dPaCS-MD/MSM are in good agreement with experimental values for all the complexes. We conclude that dPaCS-MD/MSM can accurately calculate the binding free energies of these complexes. The Biophysical Society of Japan 2021-12-04 /pmc/articles/PMC8694779/ /pubmed/35178333 http://dx.doi.org/10.2142/biophysico.bppb-v18.037 Text en 2021 THE BIOPHYSICAL SOCIETY OF JAPAN https://creativecommons.org/licenses/by-nc-sa/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit
https://creativecommons.org/licenses/by-nc-sa/4.0/. |
spellingShingle | Regular Article Hata, Hiroaki Phuoc Tran, Duy Marzouk Sobeh, Mohamed Kitao, Akio Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model |
title | Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model |
title_full | Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model |
title_fullStr | Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model |
title_full_unstemmed | Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model |
title_short | Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model |
title_sort | binding free energy of protein/ligand complexes calculated using dissociation parallel cascade selection molecular dynamics and markov state model |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694779/ https://www.ncbi.nlm.nih.gov/pubmed/35178333 http://dx.doi.org/10.2142/biophysico.bppb-v18.037 |
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