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Updated: May 6, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
QSAR analysis and molecular docking simulation of suggested peptidomimetic NS3 protease inhibitors
Hamdy I A Mostafa, Nihal S El-bialy, Ahmed A Ezat
1Biophysics Department, Faculty of Science, University of Cairo, Giza, Egypt. noha_saleh_kh@yahoo.com.
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.
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