BackgroundHCV is a positive sense RNA virus affecting approximately 180 million people world wide and about 10 million Pakistani populations. HCV genotype 3a is the major cause of infection in Pakistani population. One of the major problems of HCV infection especially in the developing countries that limits the limits the antiviral therapy is the long term treatment, high dosage and side effects. Studies of antigenic epitopes of viral sequences of a specific origin can provide an effective way to overcome the mutation rate and to determine the promiscuous binders to be used for epitope based subunit vaccine design. An in silico approach was applied for the analysis of entire HCV proteome of Pakistani origin, aimed to identify the viral epitopes and their conservancy in HCV genotypes 1, 2 and 3 of diverse origin.ResultsImmunoinformatic tools were applied for the predictive analysis of HCV 3a antigenic epitopes of Pakistani origin. All the predicted epitopes were then subjected for their conservancy analysis in HCV genotypes 1, 2 and 3 of diverse origin (worldwide). Using freely available web servers, 150 MHC II epitopes were predicted as promiscuous binders against 51 subjected alleles. E2 protein represented the 20% of all the predicted MHC II epitopes. 75.33% of the predicted MHC II epitopes were (77-100%) conserve in genotype 3; 47.33% and 40.66% in genotype 1 and 2 respectively. 69 MHC I epitopes were predicted as promiscuous binders against 47 subjected alleles. NS4b represented 26% of all the MHC I predicted epitopes. Significantly higher epitope conservancy was represented by genotype 3 i.e. 78.26% and 21.05% for genotype 1 and 2.ConclusionsThe study revealed comprehensive catalogue of potential HCV derived CTL epitopes from viral proteome of Pakistan origin. A considerable number of predicted epitopes were found to be conserved in different HCV genotype. However, the number of conserved epitopes in HCV genotype 3 was significantly higher in contrast to its conservancy in HCV genotype 1 and 2. Despite of the lower conservancy in genotype 1 and 2, all the predicted epitopes have important implications in diagnostics as well as CTL-based rational vaccine design, effective for most population of the world and especially the Pakistani Population.

Hepatitis C is the major health problem over the globe affecting approximately 200 million people worldwide and about 10 million Pakistani populations. Developing countries are especially facing the problems of HCV infection. Hence the goal of the study was to find out the antigenic epitopes that could be effective vaccine targets of HCV genotype 1 of Asian origin against HLA alleles frequently distributed in Asian countries. A total of 85 complete genome sequences of HCV 1 of Asian origin were retrieved from the HCV sequence database. Using in silico tools, T cell epitopes were predicted from conserved regions of all the available HCV 1 subtypes against Asian HLA alleles. Using 10 MHC I supertypes 51 epitopes was predicted as promiscuous binders. MHC class I supertypes A2 and B7 were found to be good promiscuous binders for a large number of predicted epitopes. Other alleles of MHC I supertypes (B57, B27, BX, B44) either were not respondent as promiscuous binders or responded only to a limited number of epitopes. Against 8 predominantly found Asian alleles of DRB1 supertype, 42 epitopes was predicted as promiscuous binders. MHC class II alleles DRB1-0101, DRB1-0701 and DRB1-1501 were the highest binders to promiscuous predicted epitopes while DRB1-0301 was the least binder for the predicted promiscuous epitopes of HCV 1 genotype of Asian origin. Literature review survey of predicted epitopes via IEDB also confirmed that great numbers of predicted epitopes are true positive. Hence, sophisticated selection of viral proteins and MHCs provided conserved promiscuous epitopes that can be used as effective vaccine candidates for all Asian counties.AbbreviationsHCV - hepatitis C virus, MHC - major histocompatability complex, HLA - human leukocyte antigen, CTL - cytotoxic T lymphocytes.

RDNAnalyzer is an innovative computer based tool designed for DNA secondary structure prediction and sequence analysis. It can randomly generate the DNA sequence or user can upload the sequences of their own interest in RAW format. It uses and extends the Nussinov dynamic programming algorithm and has various application for the sequence analysis. It predicts the DNA secondary structure and base pairings. It also provides the tools for routinely performed sequence analysis by the biological scientists such as DNA replication, reverse compliment generation, transcription, translation, sequence specific information as total number of nucleotide bases, ATGC base contents along with their respective percentages and sequence cleaner. RDNAnalyzer is a unique tool developed in Microsoft Visual Studio 2008 using Microsoft Visual C# and Windows Presentation Foundation and provides user friendly environment for sequence analysis. It is freely available.Availability http://www.cemb.edu.pk/sw.htmlAbbreviationsRDNAnalyzer - Random DNA Analyser, GUI - Graphical user interface, XAML - Extensible Application Markup Language.