MODELING OF ANTILEUKEMIC ACTIVITY FOR CARBOQUINONES USING QSAR METHODOLOGY

Authors

  • Lalit Jaina Department of Chemistry, Jain University , Bangalore.
  • Mamta Thakur Department of Chemistry, Softvision college of Biotechnology and Science, Indore, MP, India.
  • Abhilash Thakur Department of Applied Sciences, National Institute of Technical Teachers Training and Research, Bhopal M.P INDIA
  • Amit Tiwari Department of Chemistry, Jain University , Bangalore.
  • G Nagendrappa Department of Chemistry, Jain University , Bangalore

Keywords:

Modeling, QSAR, Anti-Leukemic activity, Carboquinones

Abstract

In the present study, Quantitative Structure Activity Relationship (QSAR) studies were performed on a series of Carboquinones derivatives as an anti-Leukemic agent. Stepwise multiple linear regression (MLR) analysis was applied to identify the structural requirement for anti-leukemic activity. The QSAR developed as a result of MLR indicate that the activity is affected by the Parachor, Refractive Index, logP and Pogliani index. The presence of Indicator parameter for amide group in the QSAR model shows the role of amide substitution on a parent structure in regulating anti – leukemic activity of the compounds. The results were further evaluated for its statistical significance and predictive power by cross validation method.

The information generated from the present study may be useful in the design of more potent carboquinones as an anti – leukemic ag

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Published

2016-05-15

How to Cite

Jaina, L., Thakur, M. ., Thakur, A. ., Tiwari, A., & Nagendrappa, G. . (2016). MODELING OF ANTILEUKEMIC ACTIVITY FOR CARBOQUINONES USING QSAR METHODOLOGY. International Journal of Research and Development in Pharmacy & Life Sciences, 5(3), 2147-2152. Retrieved from https://www.ijrdpl.com/index.php/ijrdpl/article/view/231