Volume 21, Issue 1 pp. 20-24
Article
Full Access

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

Benabadji Saldina Hayat

Benabadji Saldina Hayat

Department of Medicinal Chemistry, Medical Center of Fudan University, Shanghai 200032, China

Search for more papers by this author
Wen Ren

Wen Ren

Department of Medicinal Chemistry, Medical Center of Fudan University, Shanghai 200032, China

Search for more papers by this author
Chen Hai-Feng

Chen Hai-Feng

Key Laboratory of Computer Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China

Search for more papers by this author
Yuan Shen-Gang

Yuan Shen-Gang

Key Laboratory of Computer Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China

Search for more papers by this author
First published: 26 August 2010
Citations: 3

Abstract

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 (q2) and non cross-validation (r2) 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.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.