Chem-Bio Informatics Journal
Online ISSN : 1347-0442
Print ISSN : 1347-6297
ISSN-L : 1347-0442
Original
De novo Based Ligand generation and Docking studies of PPARδ Agonists: Correlations between Predicted Biological activity vs. Biopharmaceutical Descriptors
Vasudeva Rao AvupatiPurna Nagasree KurreSantoshi Rupa BagadiMuralikrishna Kumar MuthyalaRajendra Prasad Yejella
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JOURNAL FREE ACCESS

2010 Volume 10 Pages 74-86

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Abstract
Molecular docking was performed on a series of bisaryl substituted thiazoles and oxazoles as PPARδ agonists. The docking technique was applied to dock a set of representative compounds within the active site region of 3D5F using Molegro Virtual Docker v 4.0.0. For these compounds, the correlation between binding free energy (kcal/mol) and log (1/EC50) values produces a good correlation coefficient (r2 = 0.719). The docking simulation clearly predicted the binding mode that is nearly similar to the crystallographic binding mode within 0.91Å RMSD. Based on the validations and interactions made by Ar1 and Ar2 substituents, ligand design was initiated considering simple combinations. For the designed compounds biopharmaceutical properties e.g. Lipophilicity (logP), Solubility (logS), Ionization constant (pKa), Distribution coefficient (logD) are predicted computationally using ACD/ChemSketch v 12.0. The hydrogen bond interactions are examined and bivariate statistical correlation between predicted biological activity (log (1/EC50) and biopharmaceutical properties are considered for evaluation. Ligand 11 (cC) thus, showed high binding energy (-206.73 kcal/mol) against PPARδ. The results avail to understand the type of interactions that occur between designed ligands with PPARδ binding site region and explain the importance of Ar1 and Ar2 substitutions on derivatives of bisaryl substituted thiazoles and oxazoles.
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2010 Chem-Bio Informatics Society
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