Literature DB >> 16426043

A high dimensional QSAR study on the aldose reductase inhibitory activity of some flavones: topological descriptors in modeling the activity.

Yenamandra S Prabhakar1, Manish K Gupta, Nobendu Roy, Yenamandra Venkateswarlu.   

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.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16426043     DOI: 10.1021/ci050060u

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Chemometric descriptors in modeling the carbonic anhydrase inhibition activity of sulfonamide and sulfamate derivatives.

Authors:  Brij Kishore Sharma; Pradeep Pilania; Kirti Sarbhai; Prithvi Singh; Yenamandra S Prabhakar
Journal:  Mol Divers       Date:  2009-08-06       Impact factor: 2.943

2.  CoMFA and CoMSIA analysis of 2,4-thiazolidinediones derivatives as aldose reductase inhibitors.

Authors:  Hong-Yan Liu; Shu-Shen Liu; Li-Tang Qin; Ling-Yun Mo
Journal:  J Mol Model       Date:  2009-01-09       Impact factor: 1.810

3.  Induced fit docking, pharmacophore modeling, and molecular dynamic simulations on thiazolidinedione derivatives to explore key interactions with Tyr48 in polyol pathway.

Authors:  Manga Vijjulatha; Yamini Lingala; RaviRaja Tejaswi Merugu
Journal:  J Mol Model       Date:  2014-06-29       Impact factor: 1.810

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.