Modern modelling methods can now give a uniquely detailed understanding of enzyme-catalysed reactions, including analysing mechanisms and identifying determinants of specificity and catalytic efficiency. A new field of computational enzymology has emerged, which has the potential to contribute significantly to structure-based design, and in developing predictive models of drug metabolism; for example, in predicting the effects of genetic polymorphisms. This review outlines important techniques in this area, including quantum chemical model studies, and combined quantum mechanics/molecular mechanics (QM/MM) methods. Some recent applications to enzymes of pharmacological interest are also covered, showing the types of problems that can be tackled, and the insight they can give.
CITATION STYLE
Mulholland, A. J., & Grant, I. M. (2007). Computational Enzymology: Insights into Enzyme Mechanism and Catalysis from Modelling. In Challenges and Advances in Computational Chemistry and Physics (Vol. 4, pp. 275–304). Springer. https://doi.org/10.1007/1-4020-5372-X_5
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