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QM/MM Modelling of Drug-Metabolizing Enzymes

期刊

CURRENT TOPICS IN MEDICINAL CHEMISTRY
卷 14, 期 11, 页码 1339-1347

出版社

BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/1568026614666140506114859

关键词

Cytochrome P450; drug metabolism; enzymes; epoxide hydrolase; modelling; quantum mechanics/molecular mechanics; selectivity

资金

  1. EPSRC under the CCP- BioSim project [EP/J010588/1]
  2. EPSRC leadership fellow [EP/G007705/01]
  3. BBSRC [BB/K016601/1, BB/L018756/1] Funding Source: UKRI
  4. EPSRC [EP/J010588/1, EP/L000253/1] Funding Source: UKRI
  5. Biotechnology and Biological Sciences Research Council [BB/K016601/1, BB/L018756/1, 1274908] Funding Source: researchfish
  6. Engineering and Physical Sciences Research Council [EP/G007705/1, EP/L000253/1, EP/J010588/1] Funding Source: researchfish

向作者/读者索取更多资源

Making reliable predictions of drug metabolites requires detailed knowledge of the chemical reactivity of drug metabolizing enzymes. Cytochrome P450 enzymes (P450s) play an important role in drug metabolism. Numerous adverse drug reactions have been identified that occur as a result of interactions with P450s. These enzymes display complex reactivity and the active oxidizing species is highly reactive and difficult to isolate, making P450s ideal candidates for computational study. Hybrid quantum mechanics/molecular mechanics calculations (QM/MM) have provided valuable insight into the reactivity of P450s, and will assist in the development of simpler predictive models. QM/MM methods have been used to model the metabolism of several drug molecules in human P450s, and have successfully rationalized experimentally observed selectivity. QM/MM calculations have been used to investigate the reactivity of other drug metabolizing enzymes, such as soluble epoxide hydrolase and glutathione transferases. Here, we review the application of QM/MM methods to modelling reactions catalyzed by drug metabolizing enzymes.

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