In silico modeling of p450 substrates, inhibitors, activators, and inducers

Cytochrome P450 enzymes are the predominant mediators of phase I metabolism of exogenous small molecules. As a result of their extensive role in metabolism of xenobiotics, drug compounds, and endogenous compounds, as well as their wide tissue distribution, significant drug discovery resources are spent to avoid interacting with this class of enzymes. Here we review historical and recent in silico modeling of 7 cytochrome P450 enzymes of particular interest, specifically CYP1A2, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, and CYP3A4. For each we provide a brief biological background including known inhibitors, substrates, and inducers, as well as details of computational modeling efforts and advances in structural biology. We also provide similar details for 3 nuclear receptors known to regulate gene expression of these enzyme families.     

The Use of Immobilized Cytochrome P4502C9 in PMMA-Based Plug Flow Bioreactors for the Production of Drug Metabolites

Cytochrome P450 enzymes play a key role in the metabolism of pharmaceutical agents. To determine metabolite toxicity, it is necessary to obtain P450 metabolites from various pharmaceutical agents. Here, we describe a bioreactor that is made by immobilizing cytochrome P450 2C9 (CYP2C9) to a poly(methyl methacrylate) surface and, as an alternative to traditional chemical synthesis, can be used to biosynthesize P450 metabolites in a plug flow bioreactor. As part of the development of the CYP2C9 bioreactor, we have studied two different methods of attachment: (1) coupling via the N-terminus using N-hydroxysulfosuccinimide 1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide and (2) using the Ni(II) chelator 1-acetato-4-benzyl-triazacyclononane to coordinate the enzyme to the surface using a C-terminal histidine tag. Additionally, the propensity for metabolite production of the CYP2C9 proof-of-concept bioreactors as a function of enzyme attachment conditions (e.g., time and enzyme concentration) was examined. Our results show that the immobilization of CYP2C9 enzymes to a PMMA surface represents a viable and alternative approach to the preparation of CYP2C9 metabolites for toxicity testing. Furthermore, the basic approach can be adapted to any cytochrome P450 enzyme and in a high-throughput, automated process.     

Liquid chromatography/tandem mass spectrometric determination of inhibition of human cytochrome P450 isozymes by resveratrol and resveratrol-3-sulfate

trans-Resveratrol, a phenolic phytoalexin occurring in grapes, wine, peanuts, and cranberries, has been reported to both have anticarcinogenic, antioxidative, phytoestrogenic, and cardioprotective activities, and to be a weak inhibitor of cytochrome P450 (CYP)3A4, which might have significance for drug-drug interactions. Since trans-resveratrol is rapidly converted in vivo to primarily trans-resveratrol-3-sulfate, a rapid, selective, and sensitive method using liquid chromatography/tandem mass spectrometry (LC/MS/MS) was developed to investigate human cytochrome P450 inhibition by trans-resveratrol-3-sulfate. Effects of trans-resveratrol and trans-resveratrol-3-sulfate on the metabolism of selective cytochrome P450 substrates (CYP1A2/ethoxyresorufin, CYP2C9/diclofenac, CYP2C19/(S)-mephenytoin, CYP2D6/bufuralol, CYP3A4/testosterone) were monitored using cDNA-expressed human recombinant isozymes. For method validation, LC/MS/MS was used to measure the inhibition of various cytochrome P450 isozymes by different concentrations (0-50 microM) of known selective inhibitors. IC(50) values of 3.2, 1.4, 8.9, 0.2, and 0.3 microM were obtained for the standard isozyme inhibitors CYP1A2/furafylline, CYP2C9/sulfaphenazole, CYP2C19/tranylcypromine, CYP2D6/quinidine, and CYP3A4/ketoconazole, respectively, which were in good agreement with literature values. trans-Resveratrol showed IC(50) values of 11.6 microM for CYP2C19 and 1.1 microM for CYP3A4, but the IC(50) values exceeded 50 microM for all the other CYP isozymes, which indicated no inhibition. No enzyme inhibition was observed for trans-resveratrol-3-sulfate. Our results indicate that trans-resveratrol is a marginal inhibitor of CYP3A4 and a weak inhibitor of CYP2C19, but its major metabolite trans-resveratrol-3-sulfate is not an inhibitor of any of the cytochrome P450 isozymes investigated.     

Predicting Drug Interaction of Clopidogrel on Microbial Metabolism of Diclofenac

Seven fungal cultures were studied for the metabolism of diclofenac in order to elucidate the nature of enzymes involved in biotransformation, as diclofenac is a specific substrate to cytochrome P450 (CYP) 2C9 isozyme in mammals. The metabolites were identified by high-performance liquid chromatography–diode array detection and liquid chromatography–tandem mass spectroscopy analysis. The study included clopidogrel, a selective inhibitor of CYP2C9 isozyme, to inhibit the metabolism of diclofenac. Two-stage fermentation protocol was used to study the diclofenac metabolism and its inhibition by clopidogrel. Among the cultures studied, four have shown positive indication for drug interaction, since clopidogrel inhibited the metabolism of diclofenac in a dose-dependent manner. The results indicate that microbial cultures possess enzyme systems similar to mammals and they can be used to predict drug interactions in mammalian systems.     

Prediction of cytochrome P450 3A4, 2D6, and 2C9 inhibitors and substrates by using support vector machines

Statistical learning methods have been used in developing filters for predicting inhibitors of two P450 isoenzymes, CYP3A4 and CYP2D6. This work explores the use of different statistical learning methods for predicting inhibitors of these enzymes and an additional P450 enzyme, CYP2C9, and the substrates of the three P450 isoenzymes. Two consensus support vector machine (CSVM) methods, "positive majority" (PM-CSVM) and "positive probability" (PP-CSVM), were used in this work. These methods were first tested for the prediction of inhibitors of CYP3A4 and CYP2D6 by using a significantly higher number of inhibitors and noninhibitors than that used in earlier studies. They were then applied to the prediction of inhibitors of CYP2C9 and substrates of the three enzymes. Both methods predict inhibitors of CYP3A4 and CYP2D6 at a similar level of accuracy as those of earlier studies. For classification of inhibitors of CYP2C9, the best CSVM method gives an accuracy of 88.9% for inhibitors and 96.3% for noninhibitors. The accuracies for classification of substrates and nonsubstrates of CYP3A4, CYP2D6, and CYP2C9 are 98.2 and 90.9%, 96.6 and 94.4%, and 85.7 and 98.8%, respectively. Both CSVM methods are potentially useful as filters for predicting inhibitors and substrates of P450 isoenzymes. These methods generally give better accuracies than single SVM classification systems, and the performance of the PP-CSVM method is slightly better than that of the PM-CSVM method.     

Cytochrome P450 reaction phenotyping and inhibition and induction studies of pinostrobin in human liver microsomes and hepatocytes

Pinostrobin (PI, 5‐hydroxy‐7‐methoxyflavanone) is a natural flavonoid known for its rich pharmacological activities. The objective of this study was to identify the human liver cytochrome P450 (CYP450) isoenzymes involved in the metabolism of PI. A single hydoxylated metabolite was obtained from PI after an incubation with pooled human liver microsomes (HLMs). The relative contributions of different CYP450s were evaluated using CYP450‐selective inhibitors in HLMs and recombinant human CYP450 enzymes, and the results revealed the major involvement of CYP1A2, CYP2C9 and CYP2E1 in PI metabolism. We also evaluated the ability of PI to inhibit and induce human cytochrome P450 enzymes in vitro . High‐performance liquid chromatography and liquid chromatography–tandem mass spectrometry analytical techniques were used to estimate the enzymatic activities of seven drug‐metabolizing CYP450 isozymes in vitro . In HLMs, PI did not inhibit CYP 1A2, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6 or CYP3A4 (IC₅₀ > 100 μm ). In the induction studies, PI had minimal effects on CYP1A2, CYP2B6and CYP3A4 activity. Based on these results, PI would not be expected to cause clinically significant CYP450 inhibition or induction.     

Effect of ketoconazole on the transport and metabolism of drugs in the human liver cell model

The effect of ketoconazole on the biotransformation of amiodarone, rosiglitazone, and cyclophosphamide was studied using the human liver cell model based on differentiated HepaRG spheroids. The concentrations of major metabolites of amiodarone and cyclophosphamide were found to decrease in the presence of ketoconazole, a cytochrome P450 3A4 inhibitor. The concentration of the major metabolite of rosiglitazone, N-desmethyl rosiglitazone, decreased upon the addition of either sulfaphenazole, a cytochrome P450 2C9 inhibitor, or ketoconazole. The rosiglitazone metabolism involves CYP2C9 and CYP2C19. This result is attributable to the inhibitory effect of ketoconazole on p-glycoprotein, which decreases N-desmethyl rosiglitazone concentration in the culture medium. The utilization of the human liver cell model and selective inhibitors of transporters and cytochrome P450 isoforms can serve for standardization of the studies of drug-drug interactions involved in drug transport and metabolism.

     

Insights on cytochrome p450 enzymes and inhibitors obtained through QSAR studies

The cytochrome P450 (CYP) superfamily of heme enzymes play an important role in the metabolism of a large number of endogenous and exogenous compounds, including most of the drugs currently on the market. Inhibitors of CYP enzymes have important roles in the treatment of several disease conditions such as numerous cancers and fungal infections in addition to their critical role in drug-drug interactions. Structure activity relationships (SAR), and three-dimensional quantitative structure activity relationships (3D-QSAR) represent important tools in understanding the interactions of the inhibitors with the active sites of the CYP enzymes. A comprehensive account of the QSAR studies on the major human CYPs 1A1, 1A2, 1B1, 2A6, 2B6, 2C9, 2C19, 2D6, 2E1, 3A4 and a few other CYPs are detailed in this review which will provide us with an insight into the individual/common characteristics of the active sites of these enzymes and the enzyme-inhibitor interactions.     

Structural and functional insights into CYP2C8.3: A genetic polymorph of cytochrome P450 2C8

The cytochrome P450 (CYP) superfamily plays a key role in the oxidative metabolism of a wide range of exogenous chemicals. CYP2C8 is the principal enzyme responsible for the metabolism of the anti-cancer drug paclitaxel in the human liver, and carries out the oxidative metabolism of at least 5% of clinical drugs. Polymorphisms in CYP2C8 have been closely implicated in individualized medication. CYP2C8.3, a common polymorph of CYP2C8 with dual amino acid substitutions R139K and K399R, is found primarily in Caucasians. In this study, CYP2C8.3 and its wild type (WT) CYP2C8 were expressed in E. coli, and their purified proteins were characterized by UV-visible spectroscopy, mass spectrometry, and circular dichroism. Their thermal stability, substrate binding ability, and metabolic activity against paclitaxel were investigated. The electron transfer kinetics during paclitaxel metabolism by WT CYP2C8 or CYP2C8.3 was studied by stopped-flow kinetics. The results revealed that mutations in CYP2C8.3 did not greatly influence the heme active site or protein thermal stability and paclitaxel binding ability, but the metabolic activity against paclitaxel was significantly depressed to just 11% of that of WT CYP2C8. Electron transfer from CYP reductase to CYP2C8.3 was found to be significantly slower than that to WT CYP2C8 during catalysis, and this might be the main reason for the depressed metabolic activity. Since the polymorph CYP2C8.3 is defective in catalyzing substrates of CYP2C8 in vitro, it might be expected to have important clinical and pathophysiological consequences in homozygous individuals, and this study provides valuable information in this aspect.     

Convenient Gram-Scale Metabolite Synthesis by Engineered Fission Yeast Strains Expressing Functional Human P450 Systems

The growing need for the characterization of cytochrome P450 (P450) metabolites often necessitates their synthesis up to Gram-scale. This task may in principle be achieved by using various techniques including chemical synthesis, the use of laboratory animals, in vitro P450 systems or microbial biotransformation. However, these approaches are in many instances unfavorable due to low yields, laborious purification, costs of cofactors, or the formation of non-physiologic metabolites. The fission yeast Schizosaccharomyces pombe has previously been shown by others and us to be very well suited for the heterologous expression of human P450s. In this study, we demonstrate whole-cell biotransformation reactions carried out with fission yeast strains that coexpress human cytochrome P450 reductase (CPR) and one of the following P450 isoforms: CYP2B6, CYP2C9, CYP2C19, CYP2D6, or CYP3A4, respectively. These strains could successfully convert their respective standard substrates but showed different responses with respect to incubation pH, the presence of glucose, and temperature, respectively. In addition, the preparative of synthesis of 2.8?g of 4'-hydroxydiclofenac was achieved by whole-cell biotransformation of diclofenac using a CPR-CYP2C9 coexpressing fission yeast strain.     

一种细胞色素P4502C8基因多态-CYP2C8.3的结构和功能

细胞色素P450超级家族在代谢众多的外源性化学物质方面发挥重要的作用.细胞色素P4502C8是人体肝脏中主要负责代谢抗癌药物紫杉醇的酶,它至少负责代谢5%的临床药物.细胞色素P450 2C8的基因多态性与用药个体化有着密切的关系.CYP2C8.3是常见的P450 2C8的基因多态之一,其发生了双点突变,分别是R139K...     

Predictive models for cytochrome p450 isozymes based on quantitative high throughput screening data

The human cytochrome P450 (CYP450) isozymes are the most important enzymes in the body to metabolize many endogenous and exogenous substances including environmental toxins and therapeutic drugs. Any unnecessary interactions between a small molecule and CYP450 isozymes may raise a potential to disarm the integrity of the protection. Accurately predicting the potential interactions between a small molecule and CYP450 isozymes is highly desirable for assessing the metabolic stability and toxicity of the molecule. The National Institutes of Health Chemical Genomics Center (NCGC) has screened a collection of over 17,000 compounds against the five major isozymes of CYP450 (1A2, 2C9, 2C19, 2D6, and 3A4) in a quantitative high throughput screening (qHTS) format. In this study, we developed support vector classification (SVC) models for these five isozymes using a set of customized generic atom types. The CYP450 data sets were randomly split into equal-sized training and test sets. The optimized SVC models exhibited high predictive power against the test sets for all five CYP450 isozymes with accuracies of 0.93, 0.89, 0.89, 0.85, and 0.87 for 1A2, 2C9, 2C19, 2D6, and 3A4, respectively, as measured by the area under the receiver operating characteristic (ROC) curves. The important atom types and features extracted from the five models are consistent with the structural preferences for different CYP450 substrates reported in the literature. We also identified novel features with significant discerning power to separate CYP450 actives from inactives. These models can be useful in prioritizing compounds in a drug discovery pipeline or recognizing the toxic potential of environmental chemicals.     

Comparison of metabolic soft spot predictions of CYP3A4, CYP2C9 and CYP2D6 substrates using MetaSite and StarDrop

Metabolite identification study plays an important role in determining the sites of metabolic liability of new chemical entities (NCEs) in drug discovery for lead optimization. Here we compare the two predictive software, MetaSite and StarDrop, available for this purpose. They work very differently but are used to predict the site of oxidation by major human cytochrome P450 (CYP) isoforms. Neither software can predict non-CYP catalyzed metabolism nor the rates of metabolism. For the purpose of comparing the two software packages, we tested known probe substrate for these enzymes, which included 12 substrates of CYP3A4 and 18 substrates of CYP2C9 and CYP2D6 were analyzed by each software and the results were compared. It is possible that these known substrates were part of the training set but we are not aware of it. To assess the performance of each software we assigned a point system for each correct prediction. The total points assigned for each CYP isoform experimentally were compared as a percentage of the total points assigned theoretically for the first choice prediction for all substrates for each isoform. Our results show that MetaSite and StarDrop are similar in predicting the correct site of metabolism by CYP3A4 (78% vs 83%, respectively). StarDrop appears to do slightly better in predicting the correct site of metabolism by CYP2C9 and CYP2D6 metabolism (89% and 93%, respectively) compared to MetaSite (63% and 70%, respectively). The sites of metabolism (SOM) from 34 in-house NCEs incubated in human liver microsomes or human hepatocytes were also evaluated using two prediction software packages and the results showed comparable SOM predictions. What makes this comparison challenging is that the contribution of each isoform to the intrinsic clearance (Clint) is not known. Overall the software were comparable except for MetaSite performing better for CYP2D6 and that MetaSite has a liver model that is absent in StarDrop that predicted with 82% accuracy.     

Development of immobilized enzyme reactors based on human recombinant cytochrome P450 enzymes for phase I drug metabolism studies

Two cytochrome P450 (CYP)-based immobilized enzyme reactors (IMERs) were developed to perform automated on-line phase I drug metabolism studies. For this purpose, biotinylated recombinant CYP2D6 or CYP3A4 reconstituted systems were anchored to the surface of two monolithic mini-columns (2mmx6mm I.D.), which had been covalently grafted with NeutrAvidin. After optimization of immobilization conditions, the obtained IMERs were integrated on-line into a LC hyphenated to an electrospray ionization MS/MS system. Studies with probe substrates and a known competitive inhibitor were performed, showing the potential of CYP-based IMERs in drug metabolism. In the optimized conditions, ca. 15 experiments were carried out with each bioreactor.     

In planta biocatalysis screen of P450s identifies 8-methoxypsoralen as a substrate for the CYP82C subfamily, yielding original chemical structures

An in vivo plant screen that allows for the analysis of exogenously applied substrates against transgenic Arabidopsis lines overexpressing individual cytochrome P450s has been developed. By deploying this screen with a subset of 91 P450s, we have identified an original substrate for members of the CYP82C subfamily. The therapeutic compound 8-methoxypsoralen was hydroxylated by plants overexpressing CYP82C2 or CYP82C4, forming 5-hydroxy-8-methoxypsoralen. Additionally, plants further modified this product to create a glycosylated compound, likely the compound 5-O-beta-D-glucopyranosyl-8-methoxypsoralen. The discovery of adducts of therapeutic compounds demonstrates the potential of this biocatalysis screening approach to create compounds that may be of pharmacological value. Additionally, this platform provides a means to expand the general knowledge base of P450 enzyme/substrate combinations and may provide valuable tools for a vast array of biocatalytic and bioremediation processes.     

Cytochrome P450 2C9 polymorphism: Effect of amino acid substitutions on protein flexibility in the presence of tamoxifen

Tamoxifen is a prodrug and cytochrome P450 2C9 (CYP2C9) has a significant role in the formation of a therapeutically more potent metabolite (4-hydroxytamoxifen) than tamoxifen. Since CYP2C9 exhibits genetic polymorphism, it may contribute to different phenotypic drug response. Moreover, it may be misleading if the possibility of heterogeneous clinical observations of pharmacogenetic investigations is ignored. Above all, clinical investigation of all the polymorphic variants is beyond the scope of a pharmacogenetic study. Therefore, in order to understand the genotype-phenotype association, it is aimed to study the interatomic interactions of amino acid substitutions in CYP2C9 variants in the presence of tamoxifen. Computational structural biology approach was adopted to study the effect of amino acid substitutions of polymorphic variants of CYP2C9 R144C (*2), I359 L (*3), D360E (*5), R150H (*8), R335W (*11) and L90 P (*13) on the flexibility of the enzyme in the presence of tamoxifen. The mutations were selected based on previously determined associations on genotype and clinical outcome of drugs.Against the above plane, docking of tamoxifen was performed with the crystal structure representing the wild-type form of the enzyme. The docked conformation of tamoxifen was favourable for 4-hydroxylation with the site of metabolism within 5 Å of oxyferrylheme consistent with the drug metabolism pathway of tamoxifen. Further, the effect of amino acid substitutions CYP2C9 variants on the protein flexibility in the presence of tamoxifen in 4-hydroxy orientation was evaluated by molecular dynamics (MD) simulations.Distinct protein flexibility modulations between variants were observed in F/G segment constituting the substrate access/egress channels, helix B' involved with substrate specificity and helix I associated with the holding of substrates. Root Mean Square Fluctuation analysis of the trajectories of variants exhibited fluctuations in F/G segment, B’ and I helix. Dominant motions in the structure were identified by performing Principal Component Analysis on trajectories and the porcupine plot depicted displaced F/G segment in variants.Thus, the interatomic interaction study of CYP2C9 variants in the presence of tamoxifen predicts the plausible effect of the investigated variants on the therapeutic outcome of tamoxifen. It is presumed that the observations of the study would be meaningful to understand tamoxifen pharmacogenetics.     

液相色谱-质谱联用技术结合多探针底物法研究人参皂苷Rb1的体外代谢

以奥美拉唑、 苯妥英、 卡马西平和非那西丁为检测肝药酶细胞色素P450酶(CYP450)亚型的专属探针药物, 通过原型药物减少量测定法考察药物体外代谢的变化, 评价人参皂苷Rb1对CYP450不同亚型酶的作用. 结果表明, P2C9, P2C19和P3A4实验组与对照组差异不显著, P1A2实验组与对照组差异显著, 表明人参皂苷Rb1能诱导P1A2亚型酶的活性, 促进底物与酶反应, 加快底物的代谢, 而对P2C9, P2C19和P3A4三个亚型酶有弱的诱导或无诱导作用. 根据快速分离液相色谱-质谱联用(RRLC-MS/MS)检测结果推断, 人参皂苷Rb1在CYP450酶中的代谢产物可转化为人参皂苷Rb1氧化产物(Rb1+O)及人参皂苷Rd和F2.     

人肝细胞色素P450 2C金属酶与药物代谢*

由于人肝细胞色素P450 2C亚家族与临床药物代谢的密切关系,其研究已引起人们的广泛关注。本文综述了四种人肝细胞色素P450 2C,着重综述了其中的三种：CYP2C9,CYP2C8,CYP2C19的研究进展。评述了CYP2C9,CYP2C8和CYP2C19的某些氨基酸残基在催化过程中的作用,这三种酶的基因多态在不同人种中的分布及药物代谢的差异,以及它们与用药的特异性及某些疾病的易感性的联系,介绍了目前提出的CYP2C8的底物药效团模型,最后总结了CYP2C9,CYP2C8,CYP2C19,CYP2C18的主要特性。