PM3-compatible zinc parameters optimized for metalloenzyme active sites

Abstract

AbstractRecent studies have shown that semiempirical methods (e.g., PM3 and AM1) for zinc‐containing compounds are unreliable for modeling structures containing zinc ions with ligand environments similar to those observed in zinc metalloenzymes. To correct these deficiencies a reparameterization of zinc at the PM3 level was undertaken. In this effort we included frequency corrected B3LYP/6‐311G* zinc metalloenzyme ligand environments along with previously utilized experimental data. Average errors for the heats of formation have been reduced from 46.9 kcal/mol (PM3) to 14.2 kcal/mol for this new parameter set, termed ZnB for “Zinc, Biological.” In addition, the new parameter sets predict geometries for the Bacillus fragilis active site model and other zinc metalloenzyme mimics that are qualitatively in agreement with high‐level ab initio results, something existing parameter sets failed to do. © 2004 Wiley Periodicals, Inc. J Comput Chem 25: 1677–1692, 2004

Publication
Journal of Computational Chemistry
Dimas Suárez Rodríguez
Associate Professor

Associate Professor of Physical Chemistry at the University of Oviedo. His research focuses on the computational study of biological systems, enzymatic catalysis, and the application of topological methods to biomolecular problems.