Generic placeholder image

Current Computer-Aided Drug Design

Editor-in-Chief

ISSN (Print): 1573-4099
ISSN (Online): 1875-6697

Exploration of Important Sites of Antimalarial Endochins for Optimum Structural Modification Using Group-Based QSAR (G-QSAR) Modeling

Author(s): Probir Kumar Ojha and Kunal Roy

Volume 9, Issue 3, 2013

Page: [336 - 349] Pages: 14

DOI: 10.2174/15734099113099990019

Price: $65

Abstract

The emergence of multidrug resistance of the currently available antimalarial drugs has led to the need of the discovery and development of new antimalarial compounds. In the present study, we have used a novel group based quantitative structure-activity relationship (G-QSAR) approach, which allows to establish a correlation of chemical group variation at different molecular sites of interest with the biological activity, using a series of 53 antimalarial endochin analogs. In our previous work, we developed QSAR models for this data set using different chemometric tools and tried to emphasize on importance of descriptor thinning and noise reduction prior to feature selection step. In the present paper, we have tried to select optimal subset of variables using a new strategy for the development of robust G-QSAR models. Starting with an initial pool of 6395 descriptors, we have finally used 51 descriptors for model development using genetic methods. The best model showed encouraging values for internal.....

Keywords: Antimalarials, Endochin, GFA, G/PLS, G-QSAR, QSAR, TM-90-C2B.


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy