Immunoinformatics Approach to Design T-cell Epitope-Based Vaccine Against Hendra Virus

  • Mohit Kamthania
  • Sukrit Srivastava
  • Meha Desai
  • Anubhav Jain
  • Archana Shrivastav
  • D. K. SharmaEmail author


Screening of HLA class II epitope-based peptides as potential vaccine candidates is one of the most rational approach for vaccine development against Hendra virus (HeV) infection, for which currently there is no successful vaccine in practice. In this study, screening of epitopes from HeV proteins viz matrix, glycoprotein, nucleocapsid, fusion, C protein, V protein, W protein and polymerase, followed by highest binding affinity & molecular dynamic simulation of selected T-cell epitopes with their corresponding HLA class II alleles has been done. The server ProPred facilitates the binding prediction of HLA class II allele specific epitopes from the antigenic protein sequences of HeV. PEPstrMOD server was used for PDB structure modeling of the screened epitopes and MODELLER was used for HLA alleles modeling. We docked the selected T-cell epitopes with their corresponding HLA allele structures using the AutoDock 4.2 tool. Further the selected docked complex structures were optimized by NAnoscale Molecular Dynamics program (NAMD) at 5 ps, with the CHARMM-22 force field parameter incorporated in Visual Molecular Dynamics (VMD 1.9.2) and complex structure stability was evaluated by calculating RMSD values. Epitopes IRIFVPATN (Nucleocapsid), MRNLLSQSL (Nucleocapsid), VRRAGKYYS (Matrix) and VRLKCLLCG (Fusion) proteins have shown considerable binding with DRB1*0806, DRB1*1304, DRB1*0701 and DRB1*0301 HLA class II allele respectively. Toxicity, antigenicity and population coverage of epitopes IRIFVPATN, MRNLLSQSL, VRRAGKYYS and VRLKCLLCG were analyzed by Toxin Pred, Vexijen and IEDB tool, respectively. The potential T-cell epitopes can be utilized in designing comprehensive epitope-based vaccines and diagnostic kits against Hendra virus after further in-vivo studies.


Hendra virus T-cell epitope Antigenicity HLA alleles, Modeling Population coverage Vaccine designing 



The authors are grateful for the necessary immunoinformatic facilities and support provided by the faculty members of Dept. of Zoology, Government P. G. College, Guna & Dept of Microbiology, College of Life Science, Cancer Hospital Campus Gwalior, Madhya Pradesh, India.


This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Compliance with Ethical Standards

Conflict of interest

Authors declares that they have no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.


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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Mohit Kamthania
    • 1
    • 2
  • Sukrit Srivastava
    • 2
  • Meha Desai
    • 3
  • Anubhav Jain
    • 1
  • Archana Shrivastav
    • 4
  • D. K. Sharma
    • 1
    Email author
  1. 1.Jiwaji UniversityGwaliorIndia
  2. 2.Mangalayatan UniversityAligarhIndia
  3. 3.Veer Narmad South Gujarat UniversitySuratIndia
  4. 4.Dept of Microbiology, College of Life ScienceCancer Hospital Campus GwaliorGwaliorIndia

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