Kar, Prajna Parimita and Srivastava, Anand (2018) Immuno-informatics Analysis to Identify Novel Vaccine Candidates and Design of a Multi-Epitope Based Vaccine Candidate Against Theileria parasites. Frontiers in Immunology, 9. ISSN 1664-3224

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Abstract

Theileriosis poses a serious threat to ruminants in tropical and subtropical countries. It is a tick22 borne disease, caused by an apicomplexan parasite, Theileria. The high disease burden in 23 animals causes huge economic losses to marginal farmers. Further, with increasing cases of 24 resistance to commonly used drugs, it is highly desirable to develop better and cost-effective 25 vaccines against theileriosis.The high disease burden in animals lead to huge economic losses, 26 with increasing cases of resistance to commonly used drugs, there is a strong requisite for a cost27 effective vaccine against theileriosis. The only available vaccine, live attenuated parasite 28 vaccine, has many drawbacks and hence is unsuitable for controlling this disease. IThe 29 immunoe-informatics has emerged as a useful tool in down selection of potential molecules for 30 vaccine development. In this study, we have usedused an immuno-informatics driven genome31 wide screening strategy to identify potential vaccine targets containing important and effective 32 dominant immunogens against Theileria. The proteome of Theileria annulata was screened for 33 proteins with probability of plasma membrane localization or GPI anchor. The non-homologous 34 proteins non-homologous to the host (bovine) were selected and their antigenicity was analyzed. 35 The B-cell epitopes were identified in the selected proteins and were mapped in the modelled 36 structure of the proteins. A total of nineteen linear epitopes in twelve proteins, which are exposed 37 in the extracellular space and havinge the potential to induce protective antibodies were obtained. 38 Additionally, CTL epitopes which are, peptides with 9-mer core sequence, were also identified, 39 modelled and docked with bovine MHC-I structures. The CTL epitopes showing high binding 40 energy with the bovine MHC-I were further engineered in silico to design a putativeform a 41 multi-epitope vaccine candidate against Theileria parasites. The docking studies and molecular 42 dynamics studies with the predicted multi-epitope vaccine candidate and modelled bovine TLR-4 Provisional 3 43 exhibitedshowed strong binding energy, which suggestings that the complex is stable and the 44 putative multi-epitope vaccine candidate can be a potentially good candidate for vaccine 45 development.

Item Type:	Article
Subjects:	Animal Genetics and Genomics Infectious Diseases Inflammation Biology Reproductive Biology Genetic Engineering Bioinformatics
Depositing User:	Mr Harjit Singh
Date Deposited:	26 Jun 2019 08:37
Last Modified:	26 Jun 2019 11:09
URI:	http://niab.sciencecentral.in/id/eprint/64

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