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Howard Hughes Medical Institute, Departments of Pharmacology, Chemistry, and Biochemistry, University of California, San Diego, La Jolla, California 92093, USA
Reprint requests to: Jens Erik Nielsen, Howard Hughes Medical Institute, Departments of Pharmacology, Chemistry, and Biochemistry, MC 0365, University of California, San Diego, La Jolla, CA 92093, USA; e-mail: jnielsen{at}mccammon.ucsd.edu; fax: (858) 534-7042.
The ionization properties of the active-site residues in enzymes are of considerable interest in the study of the catalytic mechanisms of enzymes. Knowledge of these ionization constants (pKa values) often allows the researcher to identify the proton donor and the catalytic nucleophile in the reaction mechanism of the enzyme. Estimates of protein residue pKa values can be obtained by applying pKa calculation algorithms to protein X-ray structures. We show that pKa values accurate enough for identifying the proton donor in an enzyme active site can be calculated by considering in detail only the active-site residues and their immediate electrostatic interaction partners, thus allowing for a large decrease in calculation time. More specifically we omit the calculation of site-site interaction energies, and the calculation of desolvation and background interaction energies for a large number of pairs of titratable groups. The method presented here is well suited to be applied on a genomic scale, and can be implemented in most pKa calculation algorithms to give significant reductions in calculation time with little or no impact on the accuracy of the results. The work presented here has implications for the understanding of enzymes in general and for the design of novel biocatalysts.
Keywords: Enzyme; pKa calculation; electrostatics; active site; catalysis
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