Generic placeholder image

Current Computer-Aided Drug Design

Editor-in-Chief

ISSN (Print): 1573-4099
ISSN (Online): 1875-6697

QSAR Analysis and Molecular Docking Simulation of Suggested Peptidomimetic NS3 Protease Inhibitors

Author(s): Hamdy I.A. Mostafa, Nihal. S. El-bialy, Ahmed A. Ezat, Noha. A. Saleh and Medhat A. Ibrahim

Volume 10, Issue 1, 2014

Page: [28 - 40] Pages: 13

DOI: 10.2174/15734099113096660048

Price: $65

Abstract

Based on the N-terminal hexapeptide product of hydrolysis (EDVVCC) at HCV NS5A/5B junction, three modified groups of compounds are built. The first group contains linear peptides while the second and third groups contain P1-P3 and P2-P4 macrocyclic structures, respectively. Quantitative Structure Activity Relationship (QSAR) characterization and docking simulations are performed in order to investigate the potential of these compounds as HCV NS3/4A protease inhibitors. Based on the QSAR properties, the three most stable compounds due to their lowest total energy are P1-P3 and P2-P4 macrocycles of azahexapeptide sequence (DDIVP vinyl amino cyclopropane) and P2-P4 macrocycle of azahexapeptide sequence (DDIVP norvaline). They also have high surface area, solvent accessible surface area, volume, molar refractivity and polarizabilty. They have moderately low dipole moment and good log P values, as well. The docking scores of the best two P2-P4 macrocycles are just acceptable. The two compounds 5A/5B hexapeptide sequence (DDIVP vinyl amino cyclopropane) and P2-P4 macrocycle of azapentapeptide sequence (DIVP vinyl amino cyclopropane) yielded the best docking scores.

Keywords: Docking, HCV, macrocyclic, NS3 protease, PM3, QSAR.


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy