A High Dimensional QSAR Study on the Aldose Reductase Inhibitory Activity of Some Flavones:  Topological Descriptors in Modeling the Activity

Yenamandra S. Prabhakar,* Manish K. Gupta, Nobendu Roy,§ and Yenamandra Venkateswarlu
Medicinal and Process Chemistry Division, Central Drug Research Institute, Lucknow-226 001, India, and Strand Genomics Ltd., Bangalore-560 080, India, and Natural Products Laboratory, Indian Institute of Chemical Technology, Hyderabad-500 007, India
J. Chem. Inf. Model., 2006, 46 (1), pp 86–92
DOI: 10.1021/ci050060u
Publication Date (Web): April 28, 2005
Copyright © 2006 American Chemical Society

 This article is based on material presented in the Fourth Indo−US Workshop on Mathematical Chemistry, January 8-12, 2005, University of Pune, Pune, India organized by Natural Resources Research Institute, University of Minnesota Duluth, Duluth, Minnesota, USA and University of Pune, Pune, India. C.D.R.I. Communication No. 6719.

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 Corresponding author phone:  +91-522-2612411; fax:  +91-522-2624305; e-mail:  yenpra@yahoo.com.

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 Central Drug Research Institute.

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 Strand Genomics Ltd.

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 Indian Institute of Chemical Technology.

Abstract

The quantitative structure−activity relationships (QSAR) of the Aldose Reductase (AR) inhibitory activity of 48 flavones were studied using Free−Wilson, Combinatorial Protocol in Multiple Linear Regression (CP-MLR), and Partial Least Squares (PLS) procedures. For the latter two procedures 152 Molconn-Z parameters and six indicators corresponding to the hydroxyls of flavones were used as molecular descriptors. Independently, all procedures suggested the significance of hydroxyls in modulating the activity of these compounds. The CP-MLR procedure identified 26 descriptors to model the activity. They suggested that structures rich in aromatic CH fragments, with a limited number of aliphatic fragments such as −CH2−, −CH<, and free hydroxyls at 7-, 3‘-, and 4‘-positions of the 2-arylbenzpyran-4-one core would be preferred for the activity. The PLS analysis agreed with the information content and the relative significance of the descriptors identified in the CP-MLR for modeling the activity. The study offers the scope to modulate the inhibitory activity of these compounds.

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History

  • Published In Issue January 23, 2006
  • Received February 18, 2005

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