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Protein-sol pKa: prediction of electrostatic frustration, with application to coronaviruses
Author(s) -
Max Hebditch,
Jim Warwicker
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa646
Subject(s) - protonation , coronavirus , chemistry , histidine , acid dissociation constant , crystallography , covid-19 , combinatorial chemistry , biochemistry , amino acid , medicine , ion , disease , organic chemistry , pathology , aqueous solution , infectious disease (medical specialty)
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.

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