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      A Multiscale Approach to Modelling Drug Metabolism by Membrane-Bound Cytochrome P450 Enzymes

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          Abstract

          Cytochrome P450 enzymes are found in all life forms. P450s play an important role in drug metabolism, and have potential uses as biocatalysts. Human P450s are membrane-bound proteins. However, the interactions between P450s and their membrane environment are not well-understood. To date, all P450 crystal structures have been obtained from engineered proteins, from which the transmembrane helix was absent. A significant number of computational studies have been performed on P450s, but the majority of these have been performed on the solubilised forms of P450s. Here we present a multiscale approach for modelling P450s, spanning from coarse-grained and atomistic molecular dynamics simulations to reaction modelling using hybrid quantum mechanics/molecular mechanics (QM/MM) methods. To our knowledge, this is the first application of such an integrated multiscale approach to modelling of a membrane-bound enzyme. We have applied this protocol to a key human P450 involved in drug metabolism: CYP3A4. A biologically realistic model of CYP3A4, complete with its transmembrane helix and a membrane, has been constructed and characterised. The dynamics of this complex have been studied, and the oxidation of the anticoagulant R-warfarin has been modelled in the active site. Calculations have also been performed on the soluble form of the enzyme in aqueous solution. Important differences are observed between the membrane and solution systems, most notably for the gating residues and channels that control access to the active site. The protocol that we describe here is applicable to other membrane-bound enzymes.

          Author Summary

          A significant amount of information about how enzymes and other proteins function has been obtained from computer simulations. Often, the size of the system that is required to provide a sufficiently realistic model places limitations on both the timescale of the simulation, and the level of detail that can be studied. Computational approaches that utilise more than one type of method (so-called ‘multiscale methods’) allow the size of system, and timescale of study, to be increased. Membrane-bound proteins, such as cytochrome P450 enzymes (P450s), are an example of where multiscale simulations can be used. P450s are important in drug metabolism, and are known to be involved in adverse drug reactions. Access of substrate to the active site of these enzymes through the membrane is not well-understood. In the present work, a simulation pipeline is presented that leads through the construction and refinement of a realistic protein:membrane system by molecular dynamics simulations to reaction modelling. An important drug-metabolising P450, CYP3A4, is used as an example, together with the anticoagulant drug R-warfarin. Our investigations reveal that a membrane-bound model is required to fully capture the gating mechanisms and substrate ingress/egress channels. The simulation protocol described here is transferrable to other membrane-bound proteins.

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          Most cited references42

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          OPM: orientations of proteins in membranes database.

          The Orientations of Proteins in Membranes (OPM) database provides a collection of transmembrane, monotopic and peripheral proteins from the Protein Data Bank whose spatial arrangements in the lipid bilayer have been calculated theoretically and compared with experimental data. The database allows analysis, sorting and searching of membrane proteins based on their structural classification, species, destination membrane, numbers of transmembrane segments and subunits, numbers of secondary structures and the calculated hydrophobic thickness or tilt angle with respect to the bilayer normal. All coordinate files with the calculated membrane boundaries are available for downloading. http://opm.phar.umich.edu.
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            Cytochrome P450 compound I: capture, characterization, and C-H bond activation kinetics.

            Cytochrome P450 enzymes are responsible for the phase I metabolism of approximately 75% of known pharmaceuticals. P450s perform this and other important biological functions through the controlled activation of C-H bonds. Here, we report the spectroscopic and kinetic characterization of the long-sought principal intermediate involved in this process, P450 compound I (P450-I), which we prepared in approximately 75% yield by reacting ferric CYP119 with m-chloroperbenzoic acid. The Mössbauer spectrum of CYP119-I is similar to that of chloroperoxidase compound I, although its electron paramagnetic resonance spectrum reflects an increase in |J|/D, the ratio of the exchange coupling to the zero-field splitting. CYP119-I hydroxylates the unactivated C-H bonds of lauric acid [D(C-H) ~ 100 kilocalories per mole], with an apparent second-order rate constant of k(app) = 1.1 × 10(7) per molar per second at 4°C. Direct measurements put a lower limit of k ≥ 210 per second on the rate constant for bound substrate oxidation, whereas analyses involving kinetic isotope effects predict a value in excess of 1400 per second.
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              Theoretical perspective on the structure and mechanism of cytochrome P450 enzymes.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput. Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, USA )
                1553-734X
                1553-7358
                July 2014
                17 July 2014
                : 10
                : 7
                : e1003714
                Affiliations
                [1 ]Centre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, United Kingdom
                [2 ]Department of Biochemistry, University of Oxford, Oxford, United Kingdom
                Wellcome Trust Sanger Institute and European Bioinformatics Institute, United Kingdom
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RL SLR MSPS AJM. Performed the experiments: RL SLR. Analyzed the data: RL SLR MSPS AJM. Contributed reagents/materials/analysis tools: RL SLR. Wrote the paper: RL SLR MSPS AJM.

                Article
                PCOMPBIOL-D-13-02209
                10.1371/journal.pcbi.1003714
                4102395
                25033460
                b127be01-d1eb-4a02-b757-b208bc2cddf0
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 December 2013
                : 28 May 2014
                Page count
                Pages: 16
                Funding
                This work has been funded by the Engineering and Physical Sciences Research Council (EPSRC) under the CCP-BioSim project (grant no. EP/J010588/1; www.epsrc.ac.uk). AJM is an EPSRC Leadership Fellow (grant no. EP/G007705/01). This work has also been partially funded by the EU Commission (contract INFSO-RI-261523; ec.europa.eu) through collaboration with ScalaLife. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Oxidoreductases
                Biocatalysis
                Biochemical Simulations
                Bioinorganic Chemistry
                Biomacromolecule-Ligand Interactions
                Chemical Biology
                Proteins
                Biophysics
                Biophysical Simulations
                Cell Biology
                Cellular Structures and Organelles
                Cell Membranes
                Membrane Proteins
                Transmembrane Proteins
                Computational Biology
                Physical Sciences
                Chemistry
                Computational Chemistry
                Density Functional Theory
                Molecular Dynamics
                Molecular Mechanics
                Inorganic Chemistry

                Quantitative & Systems biology
                Quantitative & Systems biology

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