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Drug Metabolism and Disposition Fast Forward
First published on December 28, 2006; DOI: 10.1124/dmd.106.013888


0090-9556/07/3503-493-500$20.00
DMD 35:493-500, 2007

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*Substance via MeSH

Three-Dimensional Quantitative Structure-Activity Relationship Analysis of Human CYP51 InhibitorsFormula

Sean Ekins1, Dayna C. Mankowski2, Dennis J. Hoover, Michael P. Lawton, Judith L. Treadway, and H. James Harwood, Jr.

Pfizer Global Research and Development, Groton Laboratories, Groton, Connecticut

CYP51 fulfills an essential requirement for all cells, by catalyzing three sequential mono-oxidations within the cholesterol biosynthesis cascade. Inhibition of fungal CYP51 is used as a therapy for treating fungal infections, whereas inhibition of human CYP51 has been considered as a pharmacological approach to treat dyslipidemia and some forms of cancer. To predict the interaction of inhibitors with the active site of human CYP51, a three-dimensional quantitative structure-activity relationship model was constructed. This pharmacophore model of the common structural features of CYP51 inhibitors was built using the program Catalyst from multiple inhibitors (n = 26) of recombinant human CYP51-mediated lanosterol 14{alpha}-demethylation. The pharmacophore, which consisted of one hydrophobe, one hydrogen bond acceptor, and two ring aromatic features, demonstrated a high correlation between observed and predicted IC50 values (r = 0.92). Validation of this pharmacophore was performed by predicting the IC50 of a test set of commercially available (n = 19) and CP-320626-related (n = 48) CYP51 inhibitors. Using predictions below 10 µM as a cutoff indicative of active inhibitors, 16 of 19 commercially available inhibitors (84%) and 38 of 48 CP-320626-related inhibitors (79.2%) were predicted correctly. To better understand how inhibitors fit into the enzyme, potent CYP51 inhibitors were used to build a Cerius2 receptor surface model representing the volume of the active site. This study has demonstrated the potential for ligand-based computational pharmacophore modeling of human CYP51 and enables a high-throughput screening system for drug discovery and data base mining.


Address correspondence to: Dr. Sean Ekins, Vice President, Computational Biology, ACT LLC, 601 Runnymede Ave., Jenkintown, PA 19046. E-mail ekinssean{at}yahoo.com




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