CO migration pathways in cytochrome P450cam studied by molecular dynamics simulations

Ligand Diffusion on Protein Surface Observed in Molecular Dynamics Simulation

The process of binding of small ligands to dihydrofolate reductase protein has been investigated using all-atom molecular dynamics simulations. The existence of a mechanism that facilitates the search of the binding site by the ligand is demonstrated. The mechanism consists of ligand diffusing on the protein's surface. It has been discussed in the literature before, but has not been explicitly confirmed for realistic molecular systems. The strength of this nonspecific binding is roughly estimated and found to be essential for the binding kinetics.

Computational prediction of metabolism: sites, products, SAR, P450 enzyme dynamics, and mechanisms

Metabolism of xenobiotics remains a central challenge for the discovery and development of drugs, cosmetics, nutritional supplements, and agrochemicals. Metabolic transformations are frequently related to the incidence of toxic effects that may result from the emergence of reactive species, the systemic accumulation of metabolites, or by induction of metabolic pathways. Experimental investigation of the metabolism of small organic molecules is particularly resource demanding; hence, computational methods are of considerable interest to complement experimental approaches. This review provides a broad overview of structure- and ligand-based computational methods for the prediction of xenobiotic metabolism. Current computational approaches to address xenobiotic metabolism are discussed from three major perspectives: (i) prediction of sites of metabolism (SOMs), (ii) elucidation of potential metabolites and their chemical structures, and (iii) prediction of direct and indirect effects of xenobiotics on metabolizing enzymes, where the focus is on the cytochrome P450 (CYP) superfamily of enzymes, the cardinal xenobiotics metabolizing enzymes. For each of these domains, a variety of approaches and their applications are systematically reviewed, including expert systems, data mining approaches, quantitative structure–activity relationships (QSARs), and machine learning-based methods, pharmacophore-based algorithms, shape-focused techniques, molecular interaction fields (MIFs), reactivity-focused techniques, protein–ligand docking, molecular dynamics (MD) simulations, and combinations of methods. Predictive metabolism is a developing area, and there is still enormous potential for improvement. However, it is clear that the combination of rapidly increasing amounts of available ligand- and structure-related experimental data (in particular, quantitative data) with novel and diverse simulation and modeling approaches is accelerating the development of effective tools for prediction of in vivo metabolism, which is reflected by the diverse and comprehensive data sources and methods for metabolism prediction reviewed here. This review attempts to survey the range and scope of computational methods applied to metabolism prediction and also to compare and contrast their applicability and performance.

The One-electron Autoxidation of Human Cytochrome P450 3A4

Monomeric cytochrome P450 3A4 (CYP3A4), the most prevalent cytochrome P450 in human liver, can simultaneously bind one, two, or three molecules of substrates and effectors. The difference in the functional properties of such binding intermediates gives rise to homotropic and heterotropic cooperative kinetics of this enzyme. To understand the overall kinetic processes operating in CYP3A4, we documented the kinetics of autoxidation of the oxy-ferrous intermediate of CYP3A4 as a function of testosterone concentration. The rate of autoxidation in the presence of testosterone was significantly lower than that observed with no substrate present. Stability of the oxy-ferrous complex in CYP3A4 and the amplitude of the geminate CO rebinding increased significantly as a result of binding of just one testosterone molecule. In contrast, the slow phase in the kinetics of cyanide binding to the ferric CYP3A4 correlated with a shift of the heme iron spin state, which is only caused by the association of a second molecule of testosterone. Our results show that the first substrate binding event prevents the escape of diatomic ligands from the distal heme binding pocket, stabilizes the oxy-ferrous complex, and thus serves as an important modulator of the uncoupling channel in the cytochromes P450.