In silico evaluation of molecular interactions between macrocyclic inhibitors with the HCV NS3 protease. Docking and identification of antiviral pharmacophore site.

An array of computational approaches DFT/QSAR/POM methods has been used for a better understanding of drug properties regarding 13 inhibitor derivatives containing either P2 cyclopentane P1 carboxylic acid moiety () or a P1 cyclopropyl acyl sulfonamide (). To further recognize binding interactions and their activity trends, molecular docking studies were carried out with the use of HCV, which can be used to accurately predict the interactions of ligands with the receptor. The QSAR models are developed through the use of Multiple Linear Regression (MLR) together with Principal Component Analysis (PCA) methods.

DFT calculations and POM analyses of cytotoxicity of some flavonoids from aerial parts of Cupressus sempervirens: Docking and identification of pharmacophore sites.

Two known polyphenols named apigenin 7-O-β-d-glucopyranoside (S1) and querctine-3-O-glucoside (S2), along with another two new compounds apigenin 4'-geranyl-8-glucopyranosyl-7-O-α-glucopyranoside (S3) and apigenin 4'-pernyl-8-glucopyranosyl -7-O-α-glucopyranoside (S4), were isolated from the leaves of Cupressus sempervirens. Structure elucidation of the isolated polyphenols was established on the basis of detailed spectroscopic analysis like 1D and 2D NMR analyses including H NMR, C NMR, COSY, DEPT, HMQC, UV, and Electron Spray Ionization Mass Spectroscopy (ESI-MS). Density Functional Theory (DFT) of computational, Petra/Osiris/Molinspiration (POM), and docking analyses methods were applied in the structural validation of new isolated compounds.