The impact of carbon-hydrogen bond dissociation energies on the prediction of the cytochrome P450 mediated major metabolic site of drug-like compounds.

Cytochrome P450 is a family of enzymes which is estimated to be responsible for over 75% of phase I drug metabolism. In this process carbon hydrogen bonds (C-H) are broken for hydroxylation indicating that the bond dissociation energy (BDE) plays a pivotal role. A host of experimentally derived C-H BDEs were benchmarked against their theoretical counterparts and an excellent correlation was found (R(2) = 0.9746, n = 100). The C-H BDEs were calculated for fifty drugs with known major hydrogen abstraction sites. Of those twelve (24%) had their major metabolic site at the lowest C-H BDE. The most prominent factor in determining the metabolic site is the presence of tertiary and secondary amine moieties (44%). Other features such as lipophilicity and steric accessibility of the pertinent molecular scaffolds are also important. Nevertheless, out of the 586 C-H BDEs calculated the average of the major hydrogen abstraction sites are statistically significantly lower by 6.9-12.8 kcal/mol (p-value = 7.257 × 10(-9)). This means that C-H BDEs are an indispensable component in building reliable models of first pass metabolism of xenobiotics.

[1]  Michael T. Green,et al.  Cytochrome P450 Compound I: Capture, Characterization, and C-H Bond Activation Kinetics , 2010, Science.

[2]  R. Sheridan,et al.  Empirical regioselectivity models for human cytochromes P450 3A4, 2D6, and 2C9. , 2007, Journal of medicinal chemistry.

[3]  Hao Sun,et al.  Structure‐based Drug Metabolism Predictions for Drug Design , 2010, Chemical biology & drug design.

[4]  Chris Oostenbrink,et al.  Fast Prediction of Cytochrome P450 Mediated Drug Metabolism , 2009, ChemMedChem.

[5]  Curtis D. Klaassen,et al.  Casarett and Doull's Toxicology. The Basic Science of Poisons , 1981 .

[6]  Parr,et al.  Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. , 1988, Physical review. B, Condensed matter.

[7]  Giovanni Scalmani,et al.  Gaussian 09W, revision A. 02 , 2009 .

[8]  M. Relling,et al.  Pharmacogenomics: translating functional genomics into rational therapeutics. , 1999, Science.

[9]  Hao Huang,et al.  Assessment of Experimental Bond Dissociation Energies Using Composite ab Initio Methods and Evaluation of the Performances of Density Functional Methods in the Calculation of Bond Dissociation Energies , 2003, J. Chem. Inf. Comput. Sci..

[10]  M. Hann Molecular obesity, potency and other addictions in drug discovery , 2011 .

[11]  A. Becke,et al.  Density-functional exchange-energy approximation with correct asymptotic behavior. , 1988, Physical review. A, General physics.

[12]  Chris J. Wild,et al.  Chance Encounters: A First Course in Data Analysis and Inference Reviewed by Flavia Jolliffe , 1999 .

[13]  Yu-ran Luo,et al.  Comprehensive handbook of chemical bond energies , 2007 .

[14]  J. Reynisson,et al.  Bond stability of the "undesirable" heteroatom-heteroatom molecular moieties for high-throughput screening libraries. , 2011, European journal of medicinal chemistry.

[15]  Lars Olsen,et al.  General Transition-State Force Field for Cytochrome P450 Hydroxylation. , 2007, Journal of chemical theory and computation.

[16]  G. Cruciani,et al.  MetaSite: understanding metabolism in human cytochromes from the perspective of the chemist. , 2005, Journal of medicinal chemistry.

[17]  P. R. Montellano,et al.  Oxidizing species in the mechanism of cytochrome P450 , 2002 .

[18]  A. Nassar,et al.  Improving the decision-making process in the structural modification of drug candidates: enhancing metabolic stability. , 2004, Drug discovery today.

[19]  M. Gleeson Generation of a set of simple, interpretable ADMET rules of thumb. , 2008, Journal of medicinal chemistry.

[20]  Lars Olsen,et al.  Prediction of activation energies for hydrogen abstraction by cytochrome p450. , 2006, Journal of medicinal chemistry.

[21]  H. Korth,et al.  PREDICTION OF METHYL C-H BOND DISSOCIATION ENERGIES BY DENSITY FUNCTIONAL THEORY CALCULATIONS , 1997 .

[22]  D. Lewis,et al.  Cytochromes P450 in the bioactivation of chemicals. , 2004, Current topics in medicinal chemistry.

[23]  Xinlu Cheng,et al.  Density functional calculations of bond dissociation energies for removal of the nitrogen dioxide moiety in some nitroaromatic molecules , 2005 .

[24]  P. C. Hariharan,et al.  The influence of polarization functions on molecular orbital hydrogenation energies , 1973 .

[25]  Lars Olsen,et al.  Prediction of activation energies for aromatic oxidation by cytochrome P450. , 2008, The journal of physical chemistry. A.

[26]  G. Poda,et al.  Application of ALOGPS 2.1 to predict log D distribution coefficient for Pfizer proprietary compounds. , 2004, Journal of medicinal chemistry.

[27]  I. Kola,et al.  Can the pharmaceutical industry reduce attrition rates? , 2004, Nature Reviews Drug Discovery.

[28]  Andreas Bender,et al.  Computational Prediction of Metabolism: Sites, Products, SAR, P450 Enzyme Dynamics, and Mechanisms , 2012, J. Chem. Inf. Model..

[29]  Jóhannes Reynisson,et al.  Benchmarking the reliability of QikProp. Correlation between experimental and predicted values , 2008 .

[30]  R. Sheridan,et al.  A model for predicting likely sites of CYP3A4-mediated metabolism on drug-like molecules. , 2003, Journal of medicinal chemistry.

[31]  Maurice Dickins,et al.  Compound lipophilicity for substrate binding to human P450s in drug metabolism. , 2004, Drug discovery today.

[32]  C. Cramer,et al.  Rapid quantum mechanical models for the computational estimation of C-H bond dissociation energies as a measure of metabolic stability. , 2004, Molecular pharmaceutics.

[33]  N. Oppenheimer,et al.  Structure and mechanism , 1989 .

[34]  G. Granneman,et al.  Use of In Vitro and In Vivo Data to Estimate the Likelihood of Metabolic Pharmacokinetic Interactions , 1997, Clinical pharmacokinetics.

[35]  Lars Ridder,et al.  Mechanism and structure-reactivity relationships for aromatic hydroxylation by cytochrome P450. , 2004, Organic & biomolecular chemistry.

[36]  A. Fersht Structure and mechanism in protein science , 1998 .

[37]  Charles C. Persinger,et al.  How to improve R&D productivity: the pharmaceutical industry's grand challenge , 2010, Nature Reviews Drug Discovery.

[38]  L. P. Mašič Role of cyclic tertiary amine bioactivation to reactive iminium species: structure toxicity relationship. , 2011, Current drug metabolism.

[39]  J. Reynisson,et al.  Hydrogen bonding between histidine and lignin model compounds or redox mediators as calculated with the DFT method. Effects on the ease of oxidation. , 2004, Organic & biomolecular chemistry.

[40]  Lars Olsen,et al.  Transition-State Docking of Flunitrazepam and Progesterone in Cytochrome P450. , 2008, Journal of chemical theory and computation.

[41]  Ming Wah Wong,et al.  Vibrational frequency prediction using density functional theory , 1996 .

[42]  A. Becke Density-functional thermochemistry. III. The role of exact exchange , 1993 .