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In Silico Epitope Prediction And VP1 Modelling For Foot-And-Mouth Serotype SAT 2 For Vaccine Design In East Africa

View ORCID ProfileJean Claude Udahemuka, View ORCID ProfileLunayo Accadius, George Obiero, View ORCID ProfileGabriel Aboge, View ORCID ProfilePhiyani Lebea
doi: https://doi.org/10.1101/2021.09.13.460008
Jean Claude Udahemuka
1Centre for Biotechnology and Bioinformatics, University of Nairobi, P.O. Box 30197, Nairobi, Kenya
2Department of Veterinary Medicine, University of Rwanda, P.O. Box 57, Nyagatare, Rwanda
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  • For correspondence: jean.udahemuka@gmail.com
Lunayo Accadius
1Centre for Biotechnology and Bioinformatics, University of Nairobi, P.O. Box 30197, Nairobi, Kenya
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George Obiero
1Centre for Biotechnology and Bioinformatics, University of Nairobi, P.O. Box 30197, Nairobi, Kenya
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Gabriel Aboge
3Department of Public Health, Pharmacology and Toxicology, University of Nairobi, P.O. Box 29053, Nairobi, Kenya
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Phiyani Lebea
4TokaBio (Pty), Ltd, Pretoria, South Africa
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Abstract

Foot and Mouth Disease Virus has seven distinct, geographically localized, serotypes and a vaccination targeting one serotype does not confer immunity against another serotype. The use of inactivated vaccines is not safe and confers an immunity with a relatively shorter time. Using the VP1 sequences isolated in East Africa, we have predicted epitopes able to induce humoral and cell-mediated immunity in cattle. The Wu-Kabat variability index calculated in this study reflects the variable, including the known GH loop, and conserved regions, with the latter being good candidates for region-tailored vaccine design. Furthermore, we modelled the identified epitopes on a 3D model (PDB ID:5aca) to represent the epitopes structurally. This study can be used for in vitro and in vivo experiments.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://figshare.com/articles/dataset/FMDV_SAT2_East_Africa_sorted_by_AA_length_by_country_and_by_year/14979594

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 15, 2021.
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In Silico Epitope Prediction And VP1 Modelling For Foot-And-Mouth Serotype SAT 2 For Vaccine Design In East Africa
Jean Claude Udahemuka, Lunayo Accadius, George Obiero, Gabriel Aboge, Phiyani Lebea
bioRxiv 2021.09.13.460008; doi: https://doi.org/10.1101/2021.09.13.460008
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In Silico Epitope Prediction And VP1 Modelling For Foot-And-Mouth Serotype SAT 2 For Vaccine Design In East Africa
Jean Claude Udahemuka, Lunayo Accadius, George Obiero, Gabriel Aboge, Phiyani Lebea
bioRxiv 2021.09.13.460008; doi: https://doi.org/10.1101/2021.09.13.460008

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