In silico CD4+, CD8+ & humoral immunity associated antigenic epitope prediction and HLA distribution analysis of HTLV-I

Purpose: The linkage of human T-cell leukemia virus type 1 (HTLV-1) to fatal diseases is a well known fact for many years. However, there has been no significant progress in the field of the treatment that can lead to the development of a successful vaccine. Furthermore, there are no means of assessing the risk of disease and its prognosis in the infected people. Methods:The current study has taken the cognizance of the importance of host’s immune response in reducing the risk of infectious diseases to carry out immunoinformatics driven epitope screening strategy of vaccine candidates against HTLV-1. In this study, a genetic variability and HLA distribution analysis among the documented HTLV-1 genotypes I, II, III, IV, V & VI was performed to ensure the coverage of the vast majority of population, where vaccine would be employed. The meticulous screening of effective dominant immunogens was done with the help of ABCPred and Immune Epitope Database. Results: The results showed that the identified epitopes might be protective immunogens with high conservancy and potential of inducing both protective neutralizing antibodies and Tcell responses. The peptides “PSQLPPTAPPLLPHSNLDHI”, “PCPNLVAYSSYHATY”, and “YHATYSLYLF”, were 100% conserved among different isolates from far and wide separated countries, suggesting negligible antigenic drift in HTLV-1. Conclusions: Overall, the mentioned epitopes are soluble, non-toxic suitable candidates for the development of vaccine against HTLV-1 and warrant further investigation and experimental validation

In silico CD4+, CD8+ T-cell and B-cell immunity associated immunogenic epitope prediction and HLA distribution analysis of Zika virus

Zika virus (ZIKV) is a mosquito-borne flavivirus distributed all over Africa, South America and Asia. The infection with the virus may cause acute febrile sickness that clinically resembles dengue fever, yet there is no vaccine, no satisfactory treatment, and no means of evaluating the risk of the disease or prognosis in the infected people. In the present study, the efficacy of the host\u27s immune response in reducing the risk of infectious diseases was taken into account to carry out immuno-informatics driven epitope screening strategy of vaccine candidates against ZIKV. In this study, HLA distribution analysis was done to ensure the coverage of the vast majority of the population. Systematic screening of effective dominant immunogens was done with the help of Immune Epitope & ABCPred databases. The outcomes suggested that the predicted epitopes may be protective immunogens with highly conserved sequences and bear potential to induce both protective neutralizing antibodies, T & B cell responses. A total of 25 CD4+ and 16 CD8+ peptides were screened for T-cell mediated immunity. The predicted epitope TGLDFSDLYYLTMNNKHWLV was selected as a highly immunogenic epitope for humoral immunity. These peptides were further screened as non-toxic, immunogenic and non-mutated residues of envelop viral protein. The predicted epitope could work as suitable candidate(s) for peptide based vaccine development. Further, experimental validation of these epitopes is warranted to ensure the potential of B- and T-cells stimulation for their efficient use as vaccine candidates, and as diagnostic agents against ZIKV