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Catalytic Site pK(a) Values of Aspartic, Cysteine, and Serine Proteases: Constant pH MD Simulations
[Image: see text] Enzymatic function and activity of proteases is closely controlled by the pH value. The protonation states of titratable residues in the active site react to changes in the pH value, according to their pK(a), and thereby determine the functionality of the enzyme. Knowledge of the t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312390/ https://www.ncbi.nlm.nih.gov/pubmed/32348143 http://dx.doi.org/10.1021/acs.jcim.0c00190 |
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author | Hofer, Florian Kraml, Johannes Kahler, Ursula Kamenik, Anna S. Liedl, Klaus R. |
author_facet | Hofer, Florian Kraml, Johannes Kahler, Ursula Kamenik, Anna S. Liedl, Klaus R. |
author_sort | Hofer, Florian |
collection | PubMed |
description | [Image: see text] Enzymatic function and activity of proteases is closely controlled by the pH value. The protonation states of titratable residues in the active site react to changes in the pH value, according to their pK(a), and thereby determine the functionality of the enzyme. Knowledge of the titration behavior of these residues is crucial for the development of drugs targeting the active site residues. However, experimental pK(a) data are scarce, since the systems’ size and complexity make determination of these pK(a) values inherently difficult. In this study, we use single pH constant pH MD simulations as a fast and robust tool to estimate the active site pK(a) values of a set of aspartic, cysteine, and serine proteases. We capture characteristic pK(a) shifts of the active site residues, which dictate the experimentally determined activity profiles of the respective protease family. We find clear differences of active site pK(a) values within the respective families, which closely match the experimentally determined pH preferences of the respective proteases. These shifts are caused by a distinct network of electrostatic interactions characteristic for each protease family. While we find convincing agreement with experimental data for serine and aspartic proteases, we observe clear deficiencies in the description of the titration behavior of cysteines within the constant pH MD framework and highlight opportunities for improvement. Consequently, with this work, we provide a concise set of active site pK(a) values of aspartic and serine proteases, which could serve as reference for future theoretical as well as experimental studies. |
format | Online Article Text |
id | pubmed-7312390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73123902020-06-24 Catalytic Site pK(a) Values of Aspartic, Cysteine, and Serine Proteases: Constant pH MD Simulations Hofer, Florian Kraml, Johannes Kahler, Ursula Kamenik, Anna S. Liedl, Klaus R. J Chem Inf Model [Image: see text] Enzymatic function and activity of proteases is closely controlled by the pH value. The protonation states of titratable residues in the active site react to changes in the pH value, according to their pK(a), and thereby determine the functionality of the enzyme. Knowledge of the titration behavior of these residues is crucial for the development of drugs targeting the active site residues. However, experimental pK(a) data are scarce, since the systems’ size and complexity make determination of these pK(a) values inherently difficult. In this study, we use single pH constant pH MD simulations as a fast and robust tool to estimate the active site pK(a) values of a set of aspartic, cysteine, and serine proteases. We capture characteristic pK(a) shifts of the active site residues, which dictate the experimentally determined activity profiles of the respective protease family. We find clear differences of active site pK(a) values within the respective families, which closely match the experimentally determined pH preferences of the respective proteases. These shifts are caused by a distinct network of electrostatic interactions characteristic for each protease family. While we find convincing agreement with experimental data for serine and aspartic proteases, we observe clear deficiencies in the description of the titration behavior of cysteines within the constant pH MD framework and highlight opportunities for improvement. Consequently, with this work, we provide a concise set of active site pK(a) values of aspartic and serine proteases, which could serve as reference for future theoretical as well as experimental studies. American Chemical Society 2020-04-29 2020-06-22 /pmc/articles/PMC7312390/ /pubmed/32348143 http://dx.doi.org/10.1021/acs.jcim.0c00190 Text en Copyright © 2020 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Hofer, Florian Kraml, Johannes Kahler, Ursula Kamenik, Anna S. Liedl, Klaus R. Catalytic Site pK(a) Values of Aspartic, Cysteine, and Serine Proteases: Constant pH MD Simulations |
title | Catalytic Site pK(a) Values
of Aspartic, Cysteine, and Serine Proteases: Constant pH MD Simulations |
title_full | Catalytic Site pK(a) Values
of Aspartic, Cysteine, and Serine Proteases: Constant pH MD Simulations |
title_fullStr | Catalytic Site pK(a) Values
of Aspartic, Cysteine, and Serine Proteases: Constant pH MD Simulations |
title_full_unstemmed | Catalytic Site pK(a) Values
of Aspartic, Cysteine, and Serine Proteases: Constant pH MD Simulations |
title_short | Catalytic Site pK(a) Values
of Aspartic, Cysteine, and Serine Proteases: Constant pH MD Simulations |
title_sort | catalytic site pk(a) values
of aspartic, cysteine, and serine proteases: constant ph md simulations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312390/ https://www.ncbi.nlm.nih.gov/pubmed/32348143 http://dx.doi.org/10.1021/acs.jcim.0c00190 |
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