3D-QSAR Study on Diindolylmethane and Its Analogues with Comparative Molecular Field Analysis (CoMFA

来源 :Chinese Journal of Chemistry | 被引量 : 0次 | 上传用户:kuruby
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Comparative molecular field analysis (CoMFA), a three dimensional quantitative structure-activity relationship (3D-QSAR) method was applied to a series of diindolylmethane (DIM) analogs to study the relationship between their structure and their induction of CYP 1A1-associated ethoxyresorufin-O-deethylase (EROD) activity. A DISCO model of pharmacophore was derived to guide the superposition of the compounds. The coefficient of cross-validation (q 2) and non cross-validation (r 2) for the model established by the study are 0.827 and 0.988 respectively, the value of variance ratio (F) is 103.53 and standard error estimate (SEE) is 0.044. These values indicate that the CoMFA model derived is significant and might have a good prediction for the catalytic activity of DIM compounds. As a consequence, the predicted activity values of new designed compounds were all higher than that of the reported value. Comparative molecular field analysis (CoMFA), a three dimensional quantitative structure-activity relationship (3D-QSAR) method was applied to a series of diindolylmethane (DIM) analogs to study the relationship between their structure and their induction of CYP 1A1-associated ethoxyresorufin- A DISCO model of pharmacophore was derived to guide the superposition of the compounds. The coefficient of cross-validation (q 2) and non cross-validation (r 2) for the model established by the study are 0.827 and 0.988 respectively, the value of variance ratio (F) is 103.53 and standard error estimate (SEE) is 0.044. These values ​​indicate that the CoMFA model derived is significant and might have a good prediction for the catalytic activity of DIM compounds. As a consequence, the predicted activity values ​​of new designed compounds were all higher than that of the reported value.
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