Authors: Sherly Kurnia Dewi, Ali Soegianto, Vivitri Dewi Prasasty
Publication date: Jan 2019, Accepted 28 September 2018
Current Computer-Aided Drug Design
Volume: 15 (2); 120-135
Link: http://www.eurekaselect.com/165917/article
Abstract: Background: Hepatitis C virus (HCV) infection is a global burden. There is no peptide vac- cine found as modality to cure the disease is available due to the weak cellular immune response and the limitation to induce humoral immune response.
Methods: Five predominated HCV subtypes in Indonesia (1a, 1b, 1c, 3a, and 3k) were aligned and the conserved regions were selected. Twenty alleles of class I MHC including HLA-A, HLA-B, and HLA- C types were used to predict the potential epitopes by using NetMHCPan and IEDB. Eight alleles of HLA-DRB1, together with a combination of 3 alleles of HLA-DQA1 and 5 alleles of HLA-DQB1 were utilized for Class II MHC epitopes prediction using NetMHCIIPan and IEDB. LBtope and Ig- Pred were used to predict B cells epitopes. Moreover, proteasome analysis was performed by NetCTL and the stability of the epitopes in HLA was calculated using NetMHCStabPan for Class I. All pre- dicted epitopes were analyzed for its antigenicity, toxicity, and stability. Population coverage, molecular docking and molecular dynamics were performed for several best epitopes.
Results: The results showed that two best epitopes from envelop protein, GHRMAWDMMMNWSP (E1) and PALSTGLIHLHQN (E2) were selected as promising B cell and CD8+ T cell inducers. Other two peptides, LGIGTVLDQAETAG and VLVLNPSVAATLGF, taken from NS3 protein were se- lected as CD4+ T cell inducer.
Conclusion: This study suggested the utilization of all four peptides to make a combinational peptide vaccine for in vivo study to prove its ability in inducing secondary response toward HCV.