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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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/. |
format | Online Article Text |
id | pubmed-7454282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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