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Approach to Study pH-Dependent Protein Association Using Constant-pH Molecular Dynamics: Application to the Dimerization of β-Lactoglobulin
[Image: see text] Protein–protein association is often mediated by electrostatic interactions and modulated by pH. However, experimental and computational studies have often overlooked the effect of association on the protonation state of the protein. In this work, we present a methodological approa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775224/ https://www.ncbi.nlm.nih.gov/pubmed/35171602 http://dx.doi.org/10.1021/acs.jctc.1c01187 |
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author | da Rocha, Lucie Baptista, António M. Campos, Sara R. R. |
author_facet | da Rocha, Lucie Baptista, António M. Campos, Sara R. R. |
author_sort | da Rocha, Lucie |
collection | PubMed |
description | [Image: see text] Protein–protein association is often mediated by electrostatic interactions and modulated by pH. However, experimental and computational studies have often overlooked the effect of association on the protonation state of the protein. In this work, we present a methodological approach based on constant-pH molecular dynamics (MD), which aims to provide a detailed description of a pH-dependent protein–protein association, and apply it to the dimerization of β-lactoglobulin (BLG). A selection of analyses is performed using the data generated by constant-pH MD simulations of monomeric and dimeric forms of bovine BLG, in the pH range 3–8. First, we estimate free energies of dimerization using a computationally inexpensive approach based on the Wyman–Tanford linkage theory, calculated in a new way through the use of thermodynamically based splines. The individual free energy contribution of each titratable site is also calculated, allowing for identification of relevant residues. Second, the correlations between the proton occupancies of pairs of sites are calculated (using the Pearson coefficient), and extensive networks of correlated sites are observed at acidic pH values, sometimes involving distant pairs. In general, strongly correlated sites are also slow proton exchangers and contribute significantly to the pH-dependency of the dimerization free energy. Third, we use ionic density as a fingerprint of protein charge distribution and observe electrostatic complementarity between the monomer faces that form the dimer interface, more markedly at the isoionic point (where maximum dimerization occurs) than at other pH values, which might contribute to guide the association. Finally, the pH-dependent dimerization modes are inspected using PCA, among other analyses, and two states are identified: a relaxed state at pH 4–8 (with the typical alignment of the crystallographic structure) and a compact state at pH 3–4 (with a tighter association and rotated alignment). This work shows that an approach based on constant-pH MD simulations can produce rich detailed pictures of pH-dependent protein associations, as illustrated for BLG dimerization. |
format | Online Article Text |
id | pubmed-9775224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97752242022-12-23 Approach to Study pH-Dependent Protein Association Using Constant-pH Molecular Dynamics: Application to the Dimerization of β-Lactoglobulin da Rocha, Lucie Baptista, António M. Campos, Sara R. R. J Chem Theory Comput [Image: see text] Protein–protein association is often mediated by electrostatic interactions and modulated by pH. However, experimental and computational studies have often overlooked the effect of association on the protonation state of the protein. In this work, we present a methodological approach based on constant-pH molecular dynamics (MD), which aims to provide a detailed description of a pH-dependent protein–protein association, and apply it to the dimerization of β-lactoglobulin (BLG). A selection of analyses is performed using the data generated by constant-pH MD simulations of monomeric and dimeric forms of bovine BLG, in the pH range 3–8. First, we estimate free energies of dimerization using a computationally inexpensive approach based on the Wyman–Tanford linkage theory, calculated in a new way through the use of thermodynamically based splines. The individual free energy contribution of each titratable site is also calculated, allowing for identification of relevant residues. Second, the correlations between the proton occupancies of pairs of sites are calculated (using the Pearson coefficient), and extensive networks of correlated sites are observed at acidic pH values, sometimes involving distant pairs. In general, strongly correlated sites are also slow proton exchangers and contribute significantly to the pH-dependency of the dimerization free energy. Third, we use ionic density as a fingerprint of protein charge distribution and observe electrostatic complementarity between the monomer faces that form the dimer interface, more markedly at the isoionic point (where maximum dimerization occurs) than at other pH values, which might contribute to guide the association. Finally, the pH-dependent dimerization modes are inspected using PCA, among other analyses, and two states are identified: a relaxed state at pH 4–8 (with the typical alignment of the crystallographic structure) and a compact state at pH 3–4 (with a tighter association and rotated alignment). This work shows that an approach based on constant-pH MD simulations can produce rich detailed pictures of pH-dependent protein associations, as illustrated for BLG dimerization. American Chemical Society 2022-02-16 2022-03-08 /pmc/articles/PMC9775224/ /pubmed/35171602 http://dx.doi.org/10.1021/acs.jctc.1c01187 Text en © 2022 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | da Rocha, Lucie Baptista, António M. Campos, Sara R. R. Approach to Study pH-Dependent Protein Association Using Constant-pH Molecular Dynamics: Application to the Dimerization of β-Lactoglobulin |
title | Approach to Study pH-Dependent Protein Association
Using Constant-pH Molecular Dynamics: Application to the Dimerization
of β-Lactoglobulin |
title_full | Approach to Study pH-Dependent Protein Association
Using Constant-pH Molecular Dynamics: Application to the Dimerization
of β-Lactoglobulin |
title_fullStr | Approach to Study pH-Dependent Protein Association
Using Constant-pH Molecular Dynamics: Application to the Dimerization
of β-Lactoglobulin |
title_full_unstemmed | Approach to Study pH-Dependent Protein Association
Using Constant-pH Molecular Dynamics: Application to the Dimerization
of β-Lactoglobulin |
title_short | Approach to Study pH-Dependent Protein Association
Using Constant-pH Molecular Dynamics: Application to the Dimerization
of β-Lactoglobulin |
title_sort | approach to study ph-dependent protein association
using constant-ph molecular dynamics: application to the dimerization
of β-lactoglobulin |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775224/ https://www.ncbi.nlm.nih.gov/pubmed/35171602 http://dx.doi.org/10.1021/acs.jctc.1c01187 |
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