Improved Cytochrome P450 3A4 Molecular Models Accurately Predict the Phe215 Requirement for Raloxifene Dehydrogenation Selectivity

The use of molecular modeling in conjunction with site-directed mutagenesis has been extensively used to study substrate orientation within cytochrome P450 active sites and to identify potential residues involved in the positioning and catalytic mechanisms of these substrates. However, because docki...

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Veröffentlicht in:Biochemistry (Easton) 2010-10, Vol.49 (41), p.9011-9019
Hauptverfasser: Moore, Chad D, Shahrokh, Kiumars, Sontum, Stephen F, Cheatham, Thomas E, Yost, Garold S
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container_end_page 9019
container_issue 41
container_start_page 9011
container_title Biochemistry (Easton)
container_volume 49
creator Moore, Chad D
Shahrokh, Kiumars
Sontum, Stephen F
Cheatham, Thomas E
Yost, Garold S
description The use of molecular modeling in conjunction with site-directed mutagenesis has been extensively used to study substrate orientation within cytochrome P450 active sites and to identify potential residues involved in the positioning and catalytic mechanisms of these substrates. However, because docking studies utilize static models to simulate dynamic P450 enzymes, the effectiveness of these studies is strongly dependent on accurate enzyme models. This study employed a cytochrome P450 3A4 (CYP3A4) crystal structure (Protein Data Bank entry ) to predict the sites of metabolism of the known CYP3A4 substrate raloxifene. In addition, partial charges were incorporated into the P450 heme moiety to investigate the effect of the modified CYP3A4 model on metabolite prediction with the ligand docking program Autodock. Dehydrogenation of raloxifene to an electrophilic diquinone methide intermediate has been linked to the potent inactivation of CYP3A4. Active site residues involved in the positioning and/or catalysis of raloxifene supporting dehydrogenation were identified with the two models, and site-directed mutagenesis studies were conducted to validate the models. The addition of partial charges to the heme moiety improved the accuracy of the docking studies, increasing the number of conformations predicting dehydrogenation and facilitating the identification of substrate−active site residue interactions. On the basis of the improved model, the Phe215 residue was hypothesized to play an important role in orienting raloxifene for dehydrogenation through a combination of electrostatic and steric interactions. Substitution of this residue with glycine or glutamine significantly decreased dehydrogenation rates without concurrent changes in the rates of raloxifene oxygenation. Thus, the improved structural model predicted novel enzyme−substrate interactions that control the selective dehydrogenation of raloxifene to its protein-binding intermediate.
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However, because docking studies utilize static models to simulate dynamic P450 enzymes, the effectiveness of these studies is strongly dependent on accurate enzyme models. This study employed a cytochrome P450 3A4 (CYP3A4) crystal structure (Protein Data Bank entry ) to predict the sites of metabolism of the known CYP3A4 substrate raloxifene. In addition, partial charges were incorporated into the P450 heme moiety to investigate the effect of the modified CYP3A4 model on metabolite prediction with the ligand docking program Autodock. Dehydrogenation of raloxifene to an electrophilic diquinone methide intermediate has been linked to the potent inactivation of CYP3A4. Active site residues involved in the positioning and/or catalysis of raloxifene supporting dehydrogenation were identified with the two models, and site-directed mutagenesis studies were conducted to validate the models. The addition of partial charges to the heme moiety improved the accuracy of the docking studies, increasing the number of conformations predicting dehydrogenation and facilitating the identification of substrate−active site residue interactions. On the basis of the improved model, the Phe215 residue was hypothesized to play an important role in orienting raloxifene for dehydrogenation through a combination of electrostatic and steric interactions. Substitution of this residue with glycine or glutamine significantly decreased dehydrogenation rates without concurrent changes in the rates of raloxifene oxygenation. 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subjects Amino Acid Substitution
Catalytic Domain
Crystallography, X-Ray
Cytochrome P-450 CYP3A - chemistry
Cytochrome P-450 CYP3A - genetics
Cytochrome P-450 CYP3A - metabolism
Enzyme Activation - genetics
Heme - chemistry
Heme - genetics
Heme - metabolism
Humans
Models, Molecular
Phenylalanine - chemistry
Phenylalanine - genetics
Phenylalanine - metabolism
Protein Binding
Raloxifene Hydrochloride - chemistry
Raloxifene Hydrochloride - metabolism
title Improved Cytochrome P450 3A4 Molecular Models Accurately Predict the Phe215 Requirement for Raloxifene Dehydrogenation Selectivity
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