Background & Objective: To analyze the mutual B and T cell epitope related vaccine which can evoke the immune response against Ebola hemorrhagic fever. Ebola virus is pathogenic in nature which is associated with a systemic disease in man and apes. Ebola virus disease is advised to be zoonotic with random spillovers to human beings, particularly animals, and apes. These viruses can affect on immune suppression, abnormal inflammatory responses and high mortality. Methodology: In this study, membrane proteins NP, VP35, VP40, sGP, ssGP, VP30, and VP24 of Ebola virus were retrieved from the protein databases and subjected to many bioinformatics related tools to identify the antigenic B and T-cell epitopes using antigenicity analysis. The selected epitopes were subjected to molecular docking simulation along with HLA-DR to affirm their antigenicity in silico. Result & Conclusion: The data present in our study exposed that the epitopes from NP, VP35, VP40, sGP, ssGP, VP30, and VP24 proteins might be the specific target for Ebola virus based on the best binding affinity and molecular docking score. The biochemical analysis and various characterization is also mandatory to evaluate the correlation of epitopes solely with the MHC molecules.
Published in | International Journal of Homeopathy & Natural Medicines (Volume 6, Issue 1) |
DOI | 10.11648/j.ijhnm.20200601.11 |
Page(s) | 1-5 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Ebola Virus, Peptide Vaccine, TMHMM, BCpreds, Propred, AutoDock
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APA Style
Sameer Sharma, Sudhakar Malla. (2020). In silico Characterization and Selection of Epitope-based Peptide Vaccines Against Ebola Viruses. International Journal of Homeopathy & Natural Medicines, 6(1), 1-5. https://doi.org/10.11648/j.ijhnm.20200601.11
ACS Style
Sameer Sharma; Sudhakar Malla. In silico Characterization and Selection of Epitope-based Peptide Vaccines Against Ebola Viruses. Int. J. Homeopathy Nat. Med. 2020, 6(1), 1-5. doi: 10.11648/j.ijhnm.20200601.11
AMA Style
Sameer Sharma, Sudhakar Malla. In silico Characterization and Selection of Epitope-based Peptide Vaccines Against Ebola Viruses. Int J Homeopathy Nat Med. 2020;6(1):1-5. doi: 10.11648/j.ijhnm.20200601.11
@article{10.11648/j.ijhnm.20200601.11, author = {Sameer Sharma and Sudhakar Malla}, title = {In silico Characterization and Selection of Epitope-based Peptide Vaccines Against Ebola Viruses}, journal = {International Journal of Homeopathy & Natural Medicines}, volume = {6}, number = {1}, pages = {1-5}, doi = {10.11648/j.ijhnm.20200601.11}, url = {https://doi.org/10.11648/j.ijhnm.20200601.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijhnm.20200601.11}, abstract = {Background & Objective: To analyze the mutual B and T cell epitope related vaccine which can evoke the immune response against Ebola hemorrhagic fever. Ebola virus is pathogenic in nature which is associated with a systemic disease in man and apes. Ebola virus disease is advised to be zoonotic with random spillovers to human beings, particularly animals, and apes. These viruses can affect on immune suppression, abnormal inflammatory responses and high mortality. Methodology: In this study, membrane proteins NP, VP35, VP40, sGP, ssGP, VP30, and VP24 of Ebola virus were retrieved from the protein databases and subjected to many bioinformatics related tools to identify the antigenic B and T-cell epitopes using antigenicity analysis. The selected epitopes were subjected to molecular docking simulation along with HLA-DR to affirm their antigenicity in silico. Result & Conclusion: The data present in our study exposed that the epitopes from NP, VP35, VP40, sGP, ssGP, VP30, and VP24 proteins might be the specific target for Ebola virus based on the best binding affinity and molecular docking score. The biochemical analysis and various characterization is also mandatory to evaluate the correlation of epitopes solely with the MHC molecules.}, year = {2020} }
TY - JOUR T1 - In silico Characterization and Selection of Epitope-based Peptide Vaccines Against Ebola Viruses AU - Sameer Sharma AU - Sudhakar Malla Y1 - 2020/03/24 PY - 2020 N1 - https://doi.org/10.11648/j.ijhnm.20200601.11 DO - 10.11648/j.ijhnm.20200601.11 T2 - International Journal of Homeopathy & Natural Medicines JF - International Journal of Homeopathy & Natural Medicines JO - International Journal of Homeopathy & Natural Medicines SP - 1 EP - 5 PB - Science Publishing Group SN - 2472-2316 UR - https://doi.org/10.11648/j.ijhnm.20200601.11 AB - Background & Objective: To analyze the mutual B and T cell epitope related vaccine which can evoke the immune response against Ebola hemorrhagic fever. Ebola virus is pathogenic in nature which is associated with a systemic disease in man and apes. Ebola virus disease is advised to be zoonotic with random spillovers to human beings, particularly animals, and apes. These viruses can affect on immune suppression, abnormal inflammatory responses and high mortality. Methodology: In this study, membrane proteins NP, VP35, VP40, sGP, ssGP, VP30, and VP24 of Ebola virus were retrieved from the protein databases and subjected to many bioinformatics related tools to identify the antigenic B and T-cell epitopes using antigenicity analysis. The selected epitopes were subjected to molecular docking simulation along with HLA-DR to affirm their antigenicity in silico. Result & Conclusion: The data present in our study exposed that the epitopes from NP, VP35, VP40, sGP, ssGP, VP30, and VP24 proteins might be the specific target for Ebola virus based on the best binding affinity and molecular docking score. The biochemical analysis and various characterization is also mandatory to evaluate the correlation of epitopes solely with the MHC molecules. VL - 6 IS - 1 ER -