The Protein Journal

, Volume 31, Issue 2, pp 129–136

Assessment of Hepatitis C Virus Protein Sequences with Regard to Interferon/Ribavirin Combination Therapy Response in Patients with HCV Genotype 1b

Authors

    • Centre for Multidisciplinary ResearchInstitute of Nuclear Sciences VINCA
  • Nevena Veljkovic
    • Centre for Multidisciplinary ResearchInstitute of Nuclear Sciences VINCA
  • Snezana Jovanovic Cupic
    • Laboratory of Radiobiology and Molecular GeneticsInstitute of Nuclear Sciences VINCA
  • Nada Vasiljevic
    • Department of BiomedicineMinistry of Health
  • Jelena Prljic
    • Centre for Multidisciplinary ResearchInstitute of Nuclear Sciences VINCA
  • Branislava Gemovic
    • Centre for Multidisciplinary ResearchInstitute of Nuclear Sciences VINCA
  • Vladimir Perovic
    • Centre for Multidisciplinary ResearchInstitute of Nuclear Sciences VINCA
  • Veljko Veljkovic
    • Centre for Multidisciplinary ResearchInstitute of Nuclear Sciences VINCA
Article

DOI: 10.1007/s10930-011-9381-6

Cite this article as:
Glisic, S., Veljkovic, N., Jovanovic Cupic, S. et al. Protein J (2012) 31: 129. doi:10.1007/s10930-011-9381-6

Abstract

Hepatitis C virus (HCV) infection is a major and rising global health problem, affecting about 170 million people worldwide. The current standard of care treatment with interferon alpha and ribavirin in patients with the genotype 1 infection, the most frequent genotype in the USA and Western Europe, leads to a successful outcome in only about 50% of individuals. Accurate prediction of hepatitis C treatment response is of great benefit to patients and clinicians. The informational spectrum method, a virtual spectroscopy method for structure/function analysis of nucleotide and protein sequences, is applied here for the identification of the conserved information of the HCV proteins that correlate with the combination therapy outcome. Among the HCV proteins that we have analyzed the informational property of the p7 of HCV genotype 1b was best related to the therapy outcome. On the basis of these results, a simple bioinformatics criterion that could be useful in assessment of the response of HCV-infected patients to the combination therapy has been proposed.

Keywords

Hepatitis C virus Bioinformatics Informational spectrum method Protein sequence In silico HCV treatment response assessment

Abbreviations

CIS

Consensus informational spectrum

DFT

Discrete Fourier transform

EIIP

Electron-ion interaction potential

FFT

Fast Fourier transform

HCV

Hepatitis C virus

IS

Informational spectrum

ISM

Informational spectrum method

MR

Marked-responder

NR

Non-responder

PEG-IFN

Pegylated interferon

PR

Poor-responder

SVR

Sustained viral responder

Copyright information

© Springer Science+Business Media, LLC 2011