Very fast empirical prediction and rationalization of protein pKa values
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- 17 November 2005
- journal article
- research article
- Published by Wiley in Proteins-Structure Function and Bioinformatics
- Vol. 61 (4) , 704-721
- https://doi.org/10.1002/prot.20660
Abstract
A very fast empirical method is presented for structure‐based protein pKa prediction and rationalization. The desolvation effects and intra‐protein interactions, which cause variations in pKa values of protein ionizable groups, are empirically related to the positions and chemical nature of the groups proximate to the pKa sites. A computer program is written to automatically predict pKa values based on these empirical relationships within a couple of seconds. Unusual pKa values at buried active sites, which are among the most interesting protein pKa values, are predicted very well with the empirical method. A test on 233 carboxyl, 12 cysteine, 45 histidine, and 24 lysine pKa values in various proteins shows a root‐mean‐square deviation (RMSD) of 0.89 from experimental values. Removal of the 29 pKa values that are upper or lower limits results in an RMSD = 0.79 for the remaining 285 pKa values. Proteins 2005.Keywords
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