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

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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.

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Hebditch, M., & Warwicker, J. (2020). Protein-sol pKa: Prediction of electrostatic frustration, with application to coronaviruses. Bioinformatics, 36(20), 5112–5114. https://doi.org/10.1093/bioinformatics/btaa646

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