PHARMACOPHORE MODELING AND ATOM-BASED 3D-QSAR STUDIES OF ANTIFUNGAL BENZOFURANS
Journal Title: International Journal of Pharmacy and Pharmaceutical Sciences - Year 2015, Vol 7, Issue 3
Abstract
A novel series of benzofuran analogs was reported as nonpeptidic Myristoyl-CoA: protein N -myristoyltransferase (Nmt) inhibitors. To find out the common structural requirement of these benzofurans inhibitors, a ligand based pharmacophore and atom-based 3D-QSAR model was generated. A five-point pharmacophore model was developed with two hydrogen bond acceptors (AA), one positive ionic atom (P) and two aromatic ring residues (RR). This is denoted as AAPRR. A statistically significant 3D-QSAR model for training set of 24 compounds was obtained using this pharmacophore hypothesis with correlation coefficient (r2 = 0.916) and high Fisher ratio (F =113.9). Also, the predictive power of generated model for test set of 5 compounds was found to be significant which was confirmed by the high value of cross validated correlation coefficient (q2 = 0.804) and Pearson-R (0.917). The results of ligand based pharmacophore hypothesis and atom based 3D-QSAR model explore the detailed structural perceptivities and also highlights the important binding features of benzofurans with Nmt.Â
Authors and Affiliations
Sandeep S. Pathare, Sujit G. Bhansali, Kakasaheb R. Mahadik, Vithal M. Kulkarni
Keywords
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