A refined 3-dimensional QSAR of cytochrome P450 2C9: computational predictions of drug interactions.

Article Details

Citation

Rao S, Aoyama R, Schrag M, Trager WF, Rettie A, Jones JP

A refined 3-dimensional QSAR of cytochrome P450 2C9: computational predictions of drug interactions.

J Med Chem. 2000 Jul 27;43(15):2789-96.

PubMed ID
10956186 [ View in PubMed
]
Abstract

A ligand-based model is reported that predicts the Ki values for cytochrome P450 2C9 (CYP2C9) inhibitors. This CoMFA model was used to predict the affinity of 14 structurally diverse compounds not in the training set and appears to be robust. The mean error of the predictions is 6 microM. The experimentally measured Ki values of the 14 compounds range from 0.1 to 48 microM. Leave-one-out cross-validated partial least-squares gives a q2 value of between 0.6 and 0.8 for the various models which indicates internal consistency. Random assignment of biological data to structure leads to negative q2 values. These models are useful in that they establish a pharmacophore for binding to CYP2C9 that can be tested with site-directed mutagenesis. These models can also be used to screen for potential drug interactions and to design compounds that will not bind to this enzyme with high affinity.

DrugBank Data that Cites this Article

Binding Properties
DrugTargetPropertyMeasurementpHTemperature (°C)
DicoumarolCytochrome P450 2C9Ki (nM)600N/AN/ADetails
IbuprofenCytochrome P450 2C9Ki (nM)50000N/AN/ADetails
PhenytoinCytochrome P450 2C9Ki (nM)10000N/AN/ADetails
SulfaphenazoleCytochrome P450 2C9Ki (nM)200N/AN/ADetails
SuprofenCytochrome P450 2C9Ki (nM)45000N/AN/ADetails
Tienilic acidCytochrome P450 2C9Ki (nM)11000N/AN/ADetails
TolbutamideCytochrome P450 2C9Ki (nM)70000N/AN/ADetails