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

Bioinformatics. 2020 Dec 22;36(20):5112-5114. doi: 10.1093/bioinformatics/btaa646.

Abstract

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/.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Coronavirus*
  • Hydrogen-Ion Concentration
  • Mice
  • Models, Molecular
  • Protein Conformation*
  • Static Electricity*