T-cell Epitope-based Vaccine Design for Nipah Virus by Reverse Vaccinology Approach

Author:

Krishnamoorthy Praveen K.P.1ORCID,Subasree Sekar1,Arthi Udhayachandran1,Mobashir Mohammad2,Gowda Chirag3,Revanasiddappa Prasanna D.3ORCID

Affiliation:

1. Department of Biotechnology, Sri Venkateswara College of Engineering, Pennalur, Sriperumbudur 602117, Tamilnadu, India

2. Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institute, Novels vag 16, 17165 Solna, Stockholm, Sweden

3. Department of Biotechnology, Siddaganga Institute of Technology, Tumkuru 572103, Karnataka, India

Abstract

Aim and Objective: Nipah virus (NiV) is a zoonotic virus of the paramyxovirus family that sporadically breaks out from livestock and spreads in humans through breathing resulting in an indication of encephalitis syndrome. In the current study, T cell epitopes with the NiV W protein antigens were predicted. Materials and Methods: Modelling of unavailable 3D structure of W protein followed by docking studies of respective Human MHC - class I and MHC - class II alleles predicted was carried out for the highest binding rates. In the computational analysis, epitopes were assessed for immunogenicity, conservation, and toxicity analysis. T – cell-based vaccine development against NiV was screened for eight epitopes of Indian - Asian origin. Results: Two epitopes, SPVIAEHYY and LVNDGLNII, have been screened and selected for further docking study based on toxicity and conservancy analyses. These epitopes showed a significant score of -1.19 kcal/mol and 0.15 kcal/mol with HLA- B*35:03 and HLA- DRB1 * 07:03, respectively by using allele - Class I and Class II from AutoDock. These two peptides predicted by the reverse vaccinology approach are likely to induce immune response mediated by T – cells. Conclusion: Simulation using GROMACS has revealed that LVNDGLNII epitope forms a more stable complex with HLA molecule and will be useful in developing the epitope-based Nipah virus vaccine.

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

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