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Prediction of Ultrasonic Velocity of Benzene and Acyl Derivatives through QSPR Analysis


Affiliations
1 QSAR Laboratory, Department of Chemistry, University of Allahabad, Allahabad-211002, India
 

Quantitative structure properties relationship (QSPR) study has been performed on the series of benzene and acyl compounds. In the present work we are concerned about the modeling of ultrasonic velocity. For this purpose we have performed regression analysis and several significant models were proposed. The QSPR models suggest that physicochemical parameter such as D, IOR, St show best result towards ultrasonic velocity of benzene derivatives and topological parameters such as 0χ, 1χ, 2χ have been found more prominent for modeling of ultrasonic velocity of acyl derivatives. The predictive ability of QSPR models were cross validated by evaluating of the residual activity, appreciable cross validated R2 values (R2 cv) by leave one out (LOO) technique.

Keywords

Ultrasonic Velocity, QSPR, Regression Analysis.
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  • Prediction of Ultrasonic Velocity of Benzene and Acyl Derivatives through QSPR Analysis

Abstract Views: 186  |  PDF Views: 3

Authors

Neetu Sharma
QSAR Laboratory, Department of Chemistry, University of Allahabad, Allahabad-211002, India
Amrita Dwivedi
QSAR Laboratory, Department of Chemistry, University of Allahabad, Allahabad-211002, India
J. D. Pandey
QSAR Laboratory, Department of Chemistry, University of Allahabad, Allahabad-211002, India
A. K. Srivastava
QSAR Laboratory, Department of Chemistry, University of Allahabad, Allahabad-211002, India

Abstract


Quantitative structure properties relationship (QSPR) study has been performed on the series of benzene and acyl compounds. In the present work we are concerned about the modeling of ultrasonic velocity. For this purpose we have performed regression analysis and several significant models were proposed. The QSPR models suggest that physicochemical parameter such as D, IOR, St show best result towards ultrasonic velocity of benzene derivatives and topological parameters such as 0χ, 1χ, 2χ have been found more prominent for modeling of ultrasonic velocity of acyl derivatives. The predictive ability of QSPR models were cross validated by evaluating of the residual activity, appreciable cross validated R2 values (R2 cv) by leave one out (LOO) technique.

Keywords


Ultrasonic Velocity, QSPR, Regression Analysis.