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.
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