Identification of Potential inhibitors for Hematopoietic Prostaglandin D2 Synthase: Computational Modeling and Molecular Dynamics Simulations
To design a new therapeutic agent for Hematopoietic Prostaglandin D2 synthase (hPGDS), a set of 60 molecules with different molecular scaffolds were (range of pIC50 values are from 8.301 to 3.932) considered to create a pharmacophore model. Further, identification of potential hPGDS inhibitors were carried out by using virtual screening with different databases (from 15,74,182 molecules). The Molecular screening was performed using different sequential methods right from Pharmacophore based virtual screening, molecular docking, MM-GBSAstudies, ADME property analysis and molecular dynamics simulations using Maestro11.9 software. Based on the best pharmacophore model (ADRR_1), the resultant set of 18,492 molecules were screened. The preliminarily screened molecules were subjected to molecular docking (PDB_ID: 2CVD) methods. A set of 27 molecules was screened from the resultant molecular docking outcomes (360 molecules) based on binding free energy ({Delta}Gbind) and Lipinskis rule of five. Out of 27 molecules, 4 were selected visual data analysis and further subjected to molecular dynamics (MD) simulation study. Outcomes of the present study conclude with three new proposed molecules (SP1, SP2 and SP10) which show a good range of interaction with human hPGDS enzyme in comparison to the marketed compounds i.e., HQL-79, TFC-007, HPGDS inhibitor I and TAS-204.