A combined ligand and structure based approach to design potent PPAR-alpha agonists

A combined ligand and structure based pharmacophore modeling approach was employed to reveal structural and chemical features necessary for PPAR-alpha agonistic activity. The best HypoGen pharmacophore model Hypo1 for PPAR-alpha agonists contains two hydrogen-bond acceptor (HBA), two general hydrophobic (H), and one negative ionizable (NI) feature. In addition, one structure based pharmacophore model was developed using LigandScout3.0, which has identified additional three hydrophobic features. Further, molecular docking studies of all agonists showed hydrogen bond interactions with important amino acids (Ser280, Tyr314 and Tyr464) and these interactions were compared with Hypo1, which shows that the Hypo1 has a good predictive ability. The screened virtual hits from Hypo1 were subjected to the Lipinski’s rule of five, structure based pharmacophore screening and molecular docking analysis. Finally, three novel compounds with diverse scaffolds were selected as possible candidates for the designing of potent PPAR-alpha agonists. Combination of these two approaches results in designing an ideal pharmacophore model, which provides a powerful tool for the discovery of novel PPAR-alpha agonists.

► Ligand and structure based pharmacophore model was developed for PPAR-alpha agonists.
► The developed pharmacophore model was validated with multiple approaches.
► Four different databases were screened by means of validated pharmacophore model.
► Finally three novel scaffolds were identified as PPAR-alpha agonists.
► The novelty of virtual hits was confirmed by using PubChem and SciFinder search tool.