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Research
Vaccine Design against Coronavirus Spike (S) Glycoprotein in Chicken: Immunoinformatic and Computational Approaches
Sumaia Awad Elkariem Ali
Sudan University of Science and Technology
Corresponding Author
ORCiD: https://orcid.org/0000-0003-2861-7670
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Infectious bronchitis (IB) is a highly contagious respiratory disease in chickens and produces economic loss within the poultry industry. It is caused by a single stranded RNA virus belonging to Cronaviridae family.
Methods
The present study used various tools in Immune Epitope Database (IEDB) to predict conserved B and T cell epitopes against IBV spike (S) protein that may perform a significant role in provoking the resistance response to IBV infection. Structural analysis, homology modelling and molecular docking were also achieved.
Results
In B cell prediction methods, three epitopes (1139KKSSYY1144, 1140KSSYYT1145, 1141SSYYT1145) were selected as surface, linear and antigenic epitopes based on the length and antigenicity score. Many MHCI and MHCII epitopes were predicted for IBV S protein. Among them 982YYITARDMY990 and 983YITARDMYM991 epitopes displayed high antigenicity, no allergenicity and no toxicity as well as great linkage with MHCI and MHCII alleles. Moreover, docking analysis of MHCI epitope produced strong binding affinity with BF2 alleles.
Conclusion: Five conserved epitopes were expected from spike glycoprotein of IBV as the top B cell and T cell epitopes due to high antigenicity, no allergenicity and no toxicity. In addition, MHC epitopes showed great linkage with MHC alleles as well as strong interaction with BF2 alleles. These epitopes should be designed and incorporated and then tested as multi-epitope vaccine against IBV.
Keywords
IBV, Spike protein, T-and B-cell epitopes, Coronavirus, Vaccine design
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This is a preprint. It has not completed peer review.
Research
Vaccine Design against Coronavirus Spike (S) Glycoprotein in Chicken: Immunoinformatic and Computational Approaches
Sumaia Awad Elkariem Ali
Sudan University of Science and Technology
Corresponding Author
ORCiD: https://orcid.org/0000-0003-2861-7670
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 16 Apr, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Translational Medicine
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Infectious bronchitis (IB) is a highly contagious respiratory disease in chickens and produces economic loss within the poultry industry. It is caused by a single stranded RNA virus belonging to Cronaviridae family.
Methods
The present study used various tools in Immune Epitope Database (IEDB) to predict conserved B and T cell epitopes against IBV spike (S) protein that may perform a significant role in provoking the resistance response to IBV infection. Structural analysis, homology modelling and molecular docking were also achieved.
Results
In B cell prediction methods, three epitopes (1139KKSSYY1144, 1140KSSYYT1145, 1141SSYYT1145) were selected as surface, linear and antigenic epitopes based on the length and antigenicity score. Many MHCI and MHCII epitopes were predicted for IBV S protein. Among them 982YYITARDMY990 and 983YITARDMYM991 epitopes displayed high antigenicity, no allergenicity and no toxicity as well as great linkage with MHCI and MHCII alleles. Moreover, docking analysis of MHCI epitope produced strong binding affinity with BF2 alleles.
Conclusion: Five conserved epitopes were expected from spike glycoprotein of IBV as the top B cell and T cell epitopes due to high antigenicity, no allergenicity and no toxicity. In addition, MHC epitopes showed great linkage with MHC alleles as well as strong interaction with BF2 alleles. These epitopes should be designed and incorporated and then tested as multi-epitope vaccine against IBV.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7