Pharmacophore Modeling and QSAR Analysis of Novel β-carboline Derivatives as Antitumor Agents

Title:Pharmacophore Modeling and QSAR Analysis of Novel β-carboline Derivatives as Antitumor Agents

Volume: 10 Issue: 7

Author(s): Ravindra Kumar Chourasiya, A. Raghuram Rao and Ram Kishore Agrawal

Affiliation:

Keywords: β-carboline, Antitumor, Pharmacophore, 2D-QSAR, 3D-QSAR, Docking.

Abstract: Quantitative structure–activity relationship studies have been performed on twenty one β-carboline derivatives to investigate the structural requirements for antitumor activity. The best 2D-QSAR model (r2 = 0.802, F = 24.321, r2se = 0.325) indicated statistical significance and internal predictivity of the developed model shown by the value of cross validated squared correlation coefficient which was 0.724. A five-point pharmacophore hypothesis yielded ligand based pharmacophore 3D-QSAR models with good partial least-square (PLS) statistics results. The training set and test set correlation was characterized by PLS factors (r 2 = 0.842, SD = 0.306, F = 21.3, P = 4.27e -05, Q2 ext = 0.748, RMSE = 0.531, Pearson-R = 0.975). A docking study revealed the binding orientations of DNA intercalates at active site of amino acid residues. The results of 2D-QSAR and 3D-QSAR give detailed structural insights and at the same time highlight the important binding features of novel β-carboline derivatives as antitumor agents.

Cite this article as:

Chourasiya Kumar Ravindra, Rao Raghuram A. and Agrawal Kishore Ram, Pharmacophore Modeling and QSAR Analysis of Novel β-carboline Derivatives as Antitumor Agents, Letters in Drug Design & Discovery 2013; 10 (7) . https://dx.doi.org/10.2174/1570180811310070004