Stereoselective hexobarbital 3'-hydroxylation by CYP2C19 expressed in yeast cells and the roles of amino acid residues at positions 300 and 476

A comparative analysis of binding sites between mouse CYP2C38 and CYP2C39 based on homology modeling, molecular dynamics simulation and docking studies

Mouse CYP2C38 and CYP2C39 are two closely related enzymes with 91.8% sequence identity. But they exhibit different substrate binding features. In this study, three-dimensional models of CYP2C38 and CYP2C39 were constructed using X-ray crystal structure of human CYP2C8 as the template based on homology modeling methods and molecular dynamics simulations. Tolbutamide as the common substrate of CYP2C38 and CYP2C39 was docked into them and positioned in their active sites with different orientation. All-trans retinoic acid (atRA) is a specific substrate for CYP2C39 and not catalyzed by CYP2C38. By comparison of active site architectures between CYP2C38 and CYP2C39, the possible reasons affecting their substrate binding were proposed. In addition, Arg241, Glu300, Leu366 and Leu476 are identified as critical residue for substrates binding.

In silico description of differential enantioselectivity in methoxychlor O-demethylation by CYP2C enzymes

Methoxychlor undergoes metabolism by cytochrome P450 (CYP) enzymes forming a chiral mono-phenolic derivative (Mono-OH-M) as main metabolite. In the current study, members of the CYP2C family were examined for their chiral preference in Mono-OH-M formation. CYP2C9 and CYP2C19 possessed high enantioselectivity favoring the formation of S-Mono-OH-M; CYP2C3 showed no enantioselectivity, whereas CYP2C5 slightly favored the formation of R-Mono-OH-M. Molecular modeling calculations were utilized in order to explain the observed differences in chiral preference of CYP2C enzymes. Molecular docking calculations could describe neither the existence of chiral preference in metabolism, nor the enantiomer which is preferentially formed. Molecular dynamic calculations were also carried out and were found to be useful for accurate description of chiral preference in biotransformation of methoxychlor by CYP2C enzymes. An in silico model capable of predicting chiral preference in cytochrome P450 enzymes in general can be developed based on the analysis of the stability and rigidity parameters of interacting partners during molecular dynamic simulation.