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Protocols Utilizing Constant pH Molecular Dynamics to Compute pH-Dependent Binding Free Energies
[Image: see text] In protein–ligand binding, the electrostatic environments of the two binding partners may vary significantly in bound and unbound states, which may lead to protonation changes upon binding. In cases where ligand binding results in a net uptake or release of protons, the free energy...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306499/ https://www.ncbi.nlm.nih.gov/pubmed/25134690 http://dx.doi.org/10.1021/jp505777n |
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author | Kim, M. Olivia Blachly, Patrick G. Kaus, Joseph W. McCammon, J. Andrew |
author_facet | Kim, M. Olivia Blachly, Patrick G. Kaus, Joseph W. McCammon, J. Andrew |
author_sort | Kim, M. Olivia |
collection | PubMed |
description | [Image: see text] In protein–ligand binding, the electrostatic environments of the two binding partners may vary significantly in bound and unbound states, which may lead to protonation changes upon binding. In cases where ligand binding results in a net uptake or release of protons, the free energy of binding is pH-dependent. Nevertheless, conventional free energy calculations and molecular docking protocols typically do not rigorously account for changes in protonation that may occur upon ligand binding. To address these shortcomings, we present a simple methodology based on Wyman’s binding polynomial formalism to account for the pH dependence of binding free energies and demonstrate its use on cucurbit[7]uril (CB[7]) host–guest systems. Using constant pH molecular dynamics and a reference binding free energy that is taken either from experiment or from thermodynamic integration computations, the pH-dependent binding free energy is determined. This computational protocol accurately captures the large pK(a) shifts observed experimentally upon CB[7]:guest association and reproduces experimental binding free energies at different levels of pH. We show that incorrect assignment of fixed protonation states in free energy computations can give errors of >2 kcal/mol in these host–guest systems. Use of the methods presented here avoids such errors, thus suggesting their utility in computing proton-linked binding free energies for protein–ligand complexes. |
format | Online Article Text |
id | pubmed-4306499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-43064992015-08-18 Protocols Utilizing Constant pH Molecular Dynamics to Compute pH-Dependent Binding Free Energies Kim, M. Olivia Blachly, Patrick G. Kaus, Joseph W. McCammon, J. Andrew J Phys Chem B [Image: see text] In protein–ligand binding, the electrostatic environments of the two binding partners may vary significantly in bound and unbound states, which may lead to protonation changes upon binding. In cases where ligand binding results in a net uptake or release of protons, the free energy of binding is pH-dependent. Nevertheless, conventional free energy calculations and molecular docking protocols typically do not rigorously account for changes in protonation that may occur upon ligand binding. To address these shortcomings, we present a simple methodology based on Wyman’s binding polynomial formalism to account for the pH dependence of binding free energies and demonstrate its use on cucurbit[7]uril (CB[7]) host–guest systems. Using constant pH molecular dynamics and a reference binding free energy that is taken either from experiment or from thermodynamic integration computations, the pH-dependent binding free energy is determined. This computational protocol accurately captures the large pK(a) shifts observed experimentally upon CB[7]:guest association and reproduces experimental binding free energies at different levels of pH. We show that incorrect assignment of fixed protonation states in free energy computations can give errors of >2 kcal/mol in these host–guest systems. Use of the methods presented here avoids such errors, thus suggesting their utility in computing proton-linked binding free energies for protein–ligand complexes. American Chemical Society 2014-08-18 2015-01-22 /pmc/articles/PMC4306499/ /pubmed/25134690 http://dx.doi.org/10.1021/jp505777n Text en Copyright © 2014 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Kim, M. Olivia Blachly, Patrick G. Kaus, Joseph W. McCammon, J. Andrew Protocols Utilizing Constant pH Molecular Dynamics to Compute pH-Dependent Binding Free Energies |
title | Protocols
Utilizing Constant pH Molecular Dynamics
to Compute pH-Dependent Binding Free Energies |
title_full | Protocols
Utilizing Constant pH Molecular Dynamics
to Compute pH-Dependent Binding Free Energies |
title_fullStr | Protocols
Utilizing Constant pH Molecular Dynamics
to Compute pH-Dependent Binding Free Energies |
title_full_unstemmed | Protocols
Utilizing Constant pH Molecular Dynamics
to Compute pH-Dependent Binding Free Energies |
title_short | Protocols
Utilizing Constant pH Molecular Dynamics
to Compute pH-Dependent Binding Free Energies |
title_sort | protocols
utilizing constant ph molecular dynamics
to compute ph-dependent binding free energies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306499/ https://www.ncbi.nlm.nih.gov/pubmed/25134690 http://dx.doi.org/10.1021/jp505777n |
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