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Application of Topological Descriptor:QSAR Study of Chalcone Derivatives


Affiliations
1 Govt. Science and Commerce College, Benazeer, Bhopal (M.P.), India
2 Govt. Madhav Science P.G. College, Ujjain (M.P.), India
     

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A set of chalcone derivatives were tested for their antimalarial activities. Quantitative structure activity relationship (QSAR) analysis was applied to forty-two of the abovementioned derivatives using a combination of various topological descriptors. A multiple linear regression (MLR) procedure was used to model the relationships between molecular descriptors and the antimalarial activity of the chalcone derivatives. The stepwise regression method was used to derive the most significant models as a calibration model for predicting the antimalarial activity of this class of molecules. The best QSAR models were further validated by the calculation of statistical parameters for the established theoretical models. High agreement between experimental and predicted activity values, obtained in the validation procedure, indicated the good quality of the derived QSAR models.

Keywords

QSAR, Chalcone Derivatives, Multiple Linear Regressions, Statistical Parameters.
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  • Application of Topological Descriptor:QSAR Study of Chalcone Derivatives

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Authors

Sudhanshu Dhar Dwivedi
Govt. Science and Commerce College, Benazeer, Bhopal (M.P.), India
Arpan Bharadwaj
Govt. Madhav Science P.G. College, Ujjain (M.P.), India
Amit Shrivastava
Govt. Science and Commerce College, Benazeer, Bhopal (M.P.), India

Abstract


A set of chalcone derivatives were tested for their antimalarial activities. Quantitative structure activity relationship (QSAR) analysis was applied to forty-two of the abovementioned derivatives using a combination of various topological descriptors. A multiple linear regression (MLR) procedure was used to model the relationships between molecular descriptors and the antimalarial activity of the chalcone derivatives. The stepwise regression method was used to derive the most significant models as a calibration model for predicting the antimalarial activity of this class of molecules. The best QSAR models were further validated by the calculation of statistical parameters for the established theoretical models. High agreement between experimental and predicted activity values, obtained in the validation procedure, indicated the good quality of the derived QSAR models.

Keywords


QSAR, Chalcone Derivatives, Multiple Linear Regressions, Statistical Parameters.