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Vol. 30, Issue 1, 86-95, January 2002
Department of Pharmacology and Toxicology, University of Texas
Medical Branch, Galveston, Texas
Understanding the basis of the substrate specificity of
cytochrome P450 2B6 (CYP2B6) is important for determining the role of
this enzyme in drug metabolism and for predicting new substrates. Pharmacophores were generated for 16 structurally diverse CYP2B6 substrates with Catalyst after overlapping the reaction sites. Two
pharmacophores were determined for the CYP2B6 binding site. Both
include two hydrophobes and one hydrogen bond acceptor. The three-dimensional structure of CYP2B6 was then modeled based on the
crystal structure of CYP2C5. Benzyloxyresorufin and
7-ethoxy-4-trifluoromethylcoumarin, the two lowest
Km substrates in the training set, were then
docked in the active site of CYP2B6. The pharmacophores were combined with the CYP2B6 model by comparing the docking results and the mapping
of the two substrates with the pharmacophores. The results indicated
that the active site of CYP2B6 complements the pharmacophores. The
pharmacophores and the CYP2B6 model were used in conjunction to
predict the Km values of substrates in a
test set of five compounds and yielded satisfactory predictions for
benzphetamine, cinnarizine, bupropion, and verapamil but not lidocaine.
The CYP2B6 model, the pharmacophores, and the combination of the model
with these pharmacophores provide insight into the interactions of
CYP2B6 with substrates. The pharmacophores may be used as queries to search a database to predict new substrates for CYP2B6 when the reaction site is known (N- or
O-dealkylation). For C-hydroxylation, the
CYP2B6 model is helpful in evaluating the possible reaction sites in
order for the pharmacophores to predict corresponding Km values.
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