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Quantifying charge state heterogeneity for proteins with multiple ionizable residues

Ionizable residues can release and take up protons and this has an influence on protein structure and function. The extent of protonation is linked to the overall pH of the solution and the local environments of ionizable residues. Binding or unbinding of a single proton generates a distinct charge...

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Detalles Bibliográficos
Autores principales: Fossat, Martin J., Posey, Ammon E., Pappu, Rohit V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715249/
https://www.ncbi.nlm.nih.gov/pubmed/34826385
http://dx.doi.org/10.1016/j.bpj.2021.11.2886
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author Fossat, Martin J.
Posey, Ammon E.
Pappu, Rohit V.
author_facet Fossat, Martin J.
Posey, Ammon E.
Pappu, Rohit V.
author_sort Fossat, Martin J.
collection PubMed
description Ionizable residues can release and take up protons and this has an influence on protein structure and function. The extent of protonation is linked to the overall pH of the solution and the local environments of ionizable residues. Binding or unbinding of a single proton generates a distinct charge microstate defined by a specific pattern of charges. Accordingly, the overall partition function is a sum over all charge microstates and Boltzmann weights of all conformations associated with each of the charge microstates. This ensemble-of-ensembles description recast as a q-canonical ensemble allows us to analyze and interpret potentiometric titrations that provide information regarding net charge as a function of pH. In the q-canonical ensemble, charge microstates are grouped into mesostates where each mesostate is a collection of microstates of the same net charge. Here, we show that leveraging the structure of the q-canonical ensemble allows us to decouple contributions of net proton binding and release from proton arrangement and conformational considerations. Through application of the q-canonical formalism to analyze potentiometric measurements of net charge in proteins with repetitive patterns of Lys and Glu residues, we determine the underlying mesostate pK(a) values and, more importantly, we estimate relative mesostate populations as a function of pH. This is a strength of using the q-canonical approach that cannot be replicated using purely site-specific analyses. Overall, our work shows how measurements of charge equilibria, decoupled from measurements of conformational equilibria, and analyzed using the framework of the q-canonical ensemble, provide protein-specific quantitative descriptions of pH-dependent populations of mesostates. This method is of direct relevance for measuring and understanding how different charge states contribute to conformational, binding, and phase equilibria of proteins.
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spelling pubmed-87152492022-12-21 Quantifying charge state heterogeneity for proteins with multiple ionizable residues Fossat, Martin J. Posey, Ammon E. Pappu, Rohit V. Biophys J Articles Ionizable residues can release and take up protons and this has an influence on protein structure and function. The extent of protonation is linked to the overall pH of the solution and the local environments of ionizable residues. Binding or unbinding of a single proton generates a distinct charge microstate defined by a specific pattern of charges. Accordingly, the overall partition function is a sum over all charge microstates and Boltzmann weights of all conformations associated with each of the charge microstates. This ensemble-of-ensembles description recast as a q-canonical ensemble allows us to analyze and interpret potentiometric titrations that provide information regarding net charge as a function of pH. In the q-canonical ensemble, charge microstates are grouped into mesostates where each mesostate is a collection of microstates of the same net charge. Here, we show that leveraging the structure of the q-canonical ensemble allows us to decouple contributions of net proton binding and release from proton arrangement and conformational considerations. Through application of the q-canonical formalism to analyze potentiometric measurements of net charge in proteins with repetitive patterns of Lys and Glu residues, we determine the underlying mesostate pK(a) values and, more importantly, we estimate relative mesostate populations as a function of pH. This is a strength of using the q-canonical approach that cannot be replicated using purely site-specific analyses. Overall, our work shows how measurements of charge equilibria, decoupled from measurements of conformational equilibria, and analyzed using the framework of the q-canonical ensemble, provide protein-specific quantitative descriptions of pH-dependent populations of mesostates. This method is of direct relevance for measuring and understanding how different charge states contribute to conformational, binding, and phase equilibria of proteins. The Biophysical Society 2021-12-21 2021-11-23 /pmc/articles/PMC8715249/ /pubmed/34826385 http://dx.doi.org/10.1016/j.bpj.2021.11.2886 Text en © 2021 Biophysical Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Fossat, Martin J.
Posey, Ammon E.
Pappu, Rohit V.
Quantifying charge state heterogeneity for proteins with multiple ionizable residues
title Quantifying charge state heterogeneity for proteins with multiple ionizable residues
title_full Quantifying charge state heterogeneity for proteins with multiple ionizable residues
title_fullStr Quantifying charge state heterogeneity for proteins with multiple ionizable residues
title_full_unstemmed Quantifying charge state heterogeneity for proteins with multiple ionizable residues
title_short Quantifying charge state heterogeneity for proteins with multiple ionizable residues
title_sort quantifying charge state heterogeneity for proteins with multiple ionizable residues
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715249/
https://www.ncbi.nlm.nih.gov/pubmed/34826385
http://dx.doi.org/10.1016/j.bpj.2021.11.2886
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