DESIGN OF NEW PEROXISOME PROLIFERATORS GAMMA ACTIVATED RECEPTOR AGONISTS (PPARγ) VIA QSAR BASED MODELING
The Peroxisome proliferators-activated receptors (PPARs) are one of the nuclear fatty acid receptors, which contain a type II zinc
finger DNA binding pattern and a hydrophobic ligand binding pocket. These receptors are thought to play an essential role in metabolic diseases
such as obesity, insulin resistance, and coronary artery disease. Therefore Peroxisome Proliferators-Activated Receptor (PPARγ) activators have
drawn great recent attention in the clinical management of type 2 diabetes mellitus, prompting several attempts to discover and optimize new
PPARγ activators. Objective: The aim of the study was to finding new selective human PPARγ (PPARγ) modulators that are able to improve
glucose homeostasis with reduced side effects compared with TZDs and identify the specific molecular descriptor and structural constraint to
improve the agonist activity of PPARγ analogs. Material and Method: Software’s that was used for this study include S.P. Gupta QSAR
software (QSAR analysis), Valstat (Comparative QSAR analysis and calculation of L-O-O, Q2
, Spress), BILIN (Comparative QSAR analysis
and calculation of Q2
, r, S, Spress, and F), etc., allowing directly performing statistical analysis. Then multiple linear regression based QSAR
software (received from BITS-Pilani, India) generates QSAR equations. Result and Discussion: In this study, we explored the quantitative
structure–activity relationship (QSAR) study of a series of meta-substituted Phenyl-propanoic acids as Peroxisome Proliferators Gamma activated
receptor agonists (PPARγ).
The activities of meta-substituted Phenyl-propanoic acids derivatives correlated with various physicochemical, electronic and steric parameters.
Conclusion: The identified QSAR models highlighted the significance of molar refractivity and hydrophobicity to the biological activity.