An in silico approach to analyze HCV genotype-specific binding-site variation and its effect on drug–protein interaction

Ramsha Khalid, Muhammad Faraz Anwar, Muhammad Aanish Raees, Sadaf Naeem, Syed Hani Abidi, Syed Ali

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Genotype variation in viruses can affect the response of antiviral treatment. Several studies have established approaches to determine genotype-specific variations; however, analyses to determine the effect of these variations on drug–protein interactions remain unraveled. We present an in-silico approach to explore genotype-specific variations and their effect on drug–protein interaction. We have used HCV NS3 helicase and fluoroquinolones as a model for drug–protein interaction and have investigated the effect of amino acid variations in HCV NS3 of genotype 1a, 1b, 2b and 3a on NS3-fluoroquinolone interaction. We retrieved 687, 667, 101 and 248 nucleotide sequences of HCV NS3 genotypes 1a, 1b, 2b, and 3a, respectively, and translated these into amino acid sequences and used for genotype variation analysis, and also to construct 3D protein models for 2b and 3a genotypes. For 1a and 1b, crystal structures were used. Drug–protein interactions were determined using molecular docking analyses. Our results revealed that individual genotype-specific HCV NS3 showed substantial sequence heterogeneity that resulted in variations in docking interactions. We believe that our approach can be extrapolated to include other viruses to study the clinical significance of genotype-specific variations in drug–protein interactions.

Original languageEnglish
Article number20885
JournalScientific Reports
Volume10
Issue number1
DOIs
Publication statusPublished - Dec 2020

ASJC Scopus subject areas

  • General

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