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Backbone Free Energy Estimator Applied to Viral Glycoproteins

Earlier analysis of the Protein Data Bank derived the distribution of rotations from the plane of a protein hydrogen bond donor peptide group to the plane of its acceptor peptide group. The quasi Boltzmann formalism of Pohl–Finkelstein is employed to estimate free energies of protein elements with t...

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Autor principal: Penner, Robert C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591380/
https://www.ncbi.nlm.nih.gov/pubmed/32250657
http://dx.doi.org/10.1089/cmb.2020.0120
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author Penner, Robert C.
author_facet Penner, Robert C.
author_sort Penner, Robert C.
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description Earlier analysis of the Protein Data Bank derived the distribution of rotations from the plane of a protein hydrogen bond donor peptide group to the plane of its acceptor peptide group. The quasi Boltzmann formalism of Pohl–Finkelstein is employed to estimate free energies of protein elements with these hydrogen bonds, pinpointing residues with a high propensity for conformational change. This is applied to viral glycoproteins as well as capsids, where the 90th+ percentiles of free energies determine residues that correlate well with viral fusion peptides and other functional domains in known cases and thus provide a novel method for predicting these sites of importance as antiviral drug or vaccine targets in general. The method is implemented at https://bion-server.au.dk/hbonds/ from an uploaded Protein Data Bank file.
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spelling pubmed-75913802020-10-28 Backbone Free Energy Estimator Applied to Viral Glycoproteins Penner, Robert C. J Comput Biol Research Articles Earlier analysis of the Protein Data Bank derived the distribution of rotations from the plane of a protein hydrogen bond donor peptide group to the plane of its acceptor peptide group. The quasi Boltzmann formalism of Pohl–Finkelstein is employed to estimate free energies of protein elements with these hydrogen bonds, pinpointing residues with a high propensity for conformational change. This is applied to viral glycoproteins as well as capsids, where the 90th+ percentiles of free energies determine residues that correlate well with viral fusion peptides and other functional domains in known cases and thus provide a novel method for predicting these sites of importance as antiviral drug or vaccine targets in general. The method is implemented at https://bion-server.au.dk/hbonds/ from an uploaded Protein Data Bank file. Mary Ann Liebert, Inc., publishers 2020-10-01 2020-10-13 /pmc/articles/PMC7591380/ /pubmed/32250657 http://dx.doi.org/10.1089/cmb.2020.0120 Text en © Robert C. Penner, 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are cited.
spellingShingle Research Articles
Penner, Robert C.
Backbone Free Energy Estimator Applied to Viral Glycoproteins
title Backbone Free Energy Estimator Applied to Viral Glycoproteins
title_full Backbone Free Energy Estimator Applied to Viral Glycoproteins
title_fullStr Backbone Free Energy Estimator Applied to Viral Glycoproteins
title_full_unstemmed Backbone Free Energy Estimator Applied to Viral Glycoproteins
title_short Backbone Free Energy Estimator Applied to Viral Glycoproteins
title_sort backbone free energy estimator applied to viral glycoproteins
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591380/
https://www.ncbi.nlm.nih.gov/pubmed/32250657
http://dx.doi.org/10.1089/cmb.2020.0120
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