Modeling of some cyclic peroxy ketals for their Antimalarial Activities
Abstract
In this work a set of some cyclic peroxy ketals were tested for their antimalarial activities. Quantitative structure activity relationship (QSAR) analysis was applied to 20 organic compounds of the above mentioned derivatives using Physicochemical, informational and 2D-autocorelation parameters and modeled their antimalarial activity (logIC50) values. The multiple regression analysis clearly indicates that 5BIC ,1IC, MATS4v and ST parameters yielded the best model having R2 value of 0.9515. The predictive powers of the models were explained using LOO (Leave-One-Out) Cross validation procedure. The results are also discussed on the basis of ridge regression.
Keywords
QSAR, Physicochemical, MLR, Ridge regression, 2D-autocorelation, LOO.
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PDFDOI: https://doi.org/10.48317/IMIST.PRSM/morjchem-v3i2.2505