Backbone Free Energy Estimator Applied to Viral Glycoproteins.

Clicks: 350
ID: 253860
2020
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Ranked #7 of 9 articles by views in Journal of computational biology : a journal of computational molecular cell biology

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Abstract
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.
Reference Key
penner2020backbonejournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal Journal of computational biology : a journal of computational molecular cell biology
Year 2020
DOI
10.1089/cmb.2020.0120
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