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Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses

MOTIVATION: Evolution couples differences in ambient pH to biological function through protonatable groups, in particular, those that switch from buried to exposed and alter protonation state in doing so. We present a tool focusing on structure-based discovery and display of these groups. RESULTS: S...

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Detalles Bibliográficos
Autores principales: Hebditch, Max, Warwicker, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454282/
https://www.ncbi.nlm.nih.gov/pubmed/32683439
http://dx.doi.org/10.1093/bioinformatics/btaa646
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author Hebditch, Max
Warwicker, Jim
author_facet Hebditch, Max
Warwicker, Jim
author_sort Hebditch, Max
collection PubMed
description MOTIVATION: Evolution couples differences in ambient pH to biological function through protonatable groups, in particular, those that switch from buried to exposed and alter protonation state in doing so. We present a tool focusing on structure-based discovery and display of these groups. RESULTS: Since prediction of buried group pKas is computationally intensive, solvent accessibility of ionizable groups is displayed, from which the user can iteratively select pKa calculation centers. Results are color-coded, with emphasis on buried groups. Utility is demonstrated with benchmarking against known pH sensing sites in influenza virus hemagglutinin and in variants of murine hepatitis virus, a coronavirus. A pair of histidine residues, which are conserved in coronavirus spike proteins, are predicted to be electrostatically frustrated at acidic pH in both pre- and post-fusion conformations. We suggest that an intermediate expanded conformation at endosomal pH could relax the frustration, allowing histidine protonation and facilitating conformational conversion of coronavirus spike protein. AVAILABILITY AND IMPLEMENTATION: This tool is available at http://www.protein-sol.manchester.ac.uk/pka/.
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spelling pubmed-74542822020-08-31 Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses Hebditch, Max Warwicker, Jim Bioinformatics Applications Notes MOTIVATION: Evolution couples differences in ambient pH to biological function through protonatable groups, in particular, those that switch from buried to exposed and alter protonation state in doing so. We present a tool focusing on structure-based discovery and display of these groups. RESULTS: Since prediction of buried group pKas is computationally intensive, solvent accessibility of ionizable groups is displayed, from which the user can iteratively select pKa calculation centers. Results are color-coded, with emphasis on buried groups. Utility is demonstrated with benchmarking against known pH sensing sites in influenza virus hemagglutinin and in variants of murine hepatitis virus, a coronavirus. A pair of histidine residues, which are conserved in coronavirus spike proteins, are predicted to be electrostatically frustrated at acidic pH in both pre- and post-fusion conformations. We suggest that an intermediate expanded conformation at endosomal pH could relax the frustration, allowing histidine protonation and facilitating conformational conversion of coronavirus spike protein. AVAILABILITY AND IMPLEMENTATION: This tool is available at http://www.protein-sol.manchester.ac.uk/pka/. Oxford University Press 2020-07-19 /pmc/articles/PMC7454282/ /pubmed/32683439 http://dx.doi.org/10.1093/bioinformatics/btaa646 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Hebditch, Max
Warwicker, Jim
Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
title Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
title_full Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
title_fullStr Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
title_full_unstemmed Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
title_short Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
title_sort protein-sol pka: prediction of electrostatic frustration, with application to coronaviruses
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454282/
https://www.ncbi.nlm.nih.gov/pubmed/32683439
http://dx.doi.org/10.1093/bioinformatics/btaa646
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