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


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Received for publication November 14, 2006.
Revised December 21, 2006.
Accepted for publication December 26, 2006.

Three Dimensional-Quantitative Structure Activity Relationship (3D-QSAR) Analysis Of Human CYP51 Inhibitors

Sean Ekins 1*, Dayna C Mankowski 2, Dennis J Hoover 3, Michael P Lawton 4, Judith L Treadway 3, H James Harwood 3

1 ACT LLC 2 Department of Pharmacology, University of Connecticut Health Center 3 Pfizer 4 pfizer

* Address correspondence to: E-mail: ekinssean{at}yahoo.com

Abstract

CYP51 fulfills an essential requirement for all cells, by catalyzing three sequential monooxidations within the cholesterol biosynthesis cascade. Inhibition of fungal CYP51 is used as a therapy for treating fungal infections, while inhibition of human CYP51 has been considered as a pharmacological approach to treat dyslipidemia and some forms of cancer. In order to predict the interaction of inhibitors with the active site of human CYP51, a 3-dimensional quantitative structure activity relationship (3D-QSAR) model was constructed. This pharmacophore model of the common structural features of CYP51 inhibitors was built using the program CatalystTM from multiple inhibitors (n = 26) of recombinant human CYP51-mediated lanosterol 14{alpha}-demethylation. The pharmacophore, which consisted of 1 hydrophobe, 1 hydrogen bond acceptor and 2 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. In order to better understand how inhibitors fit into the enzyme, potent CYP51 inhibitors were used to build a Cerius2 TM 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 database mining.


Key words: computational models, computer modeling and simulation, CYP inhibition, structure-activity relationships


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