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Bioinformatics analysis of multi-epitope peptide vaccines against Hepatitis C virus: a molecular docking study
BACKGROUND: Hepatitis C Virus (HCV) infection is one of the causal agents of liver disease burden. Six multiple antigenic peptides were synthesized including (P315, P412, and P517) plus (P1771, P2121, and P2941) to induce humoral and cellular responses, respectively against HCV infection. Aim: This...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646107/ https://www.ncbi.nlm.nih.gov/pubmed/37962693 http://dx.doi.org/10.1186/s43141-023-00583-w |
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author | Muhammad, Ashraf M. Salum, Ghada M. Meguid, Mai Abd El Fotouh, Basma E. Dawood, Reham M. |
author_facet | Muhammad, Ashraf M. Salum, Ghada M. Meguid, Mai Abd El Fotouh, Basma E. Dawood, Reham M. |
author_sort | Muhammad, Ashraf M. |
collection | PubMed |
description | BACKGROUND: Hepatitis C Virus (HCV) infection is one of the causal agents of liver disease burden. Six multiple antigenic peptides were synthesized including (P315, P412, and P517) plus (P1771, P2121, and P2941) to induce humoral and cellular responses, respectively against HCV infection. Aim: This paper aimed to employ computational tools to evaluate the efficacy of each peptide individually and to determine the most effective one for better vaccine development and/or immunotherapy. METHODS: VaxiJen web and AllerTOP servers were used for antigenicity and allergenicity prediction, respectively. The ToxinPred web server was used to investigate the peptide toxicity. Each peptide was docked with its corresponding receptors. RESULTS: No peptides were expected to be toxic. P315 and P2941 are predicted to have robust antigenic properties, lowest allergenicity, and minimal sOPEP energies. In turn, P315 (derived from gpE1) formed the highest hydrophobic bonds with the BCR and CD81 receptors that will elicit B cell function. P2941 (derived from NS5B) was shown to strongly bind to both CD4 and CD8 receptors that will elicit T cell function. CONCLUSION: P315 successfully bound to B cell (BCR and CD81) receptors. Also, P2941 is strongly bound to T cell (CD4 and CD8) receptors. |
format | Online Article Text |
id | pubmed-10646107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106461072023-11-14 Bioinformatics analysis of multi-epitope peptide vaccines against Hepatitis C virus: a molecular docking study Muhammad, Ashraf M. Salum, Ghada M. Meguid, Mai Abd El Fotouh, Basma E. Dawood, Reham M. J Genet Eng Biotechnol Research BACKGROUND: Hepatitis C Virus (HCV) infection is one of the causal agents of liver disease burden. Six multiple antigenic peptides were synthesized including (P315, P412, and P517) plus (P1771, P2121, and P2941) to induce humoral and cellular responses, respectively against HCV infection. Aim: This paper aimed to employ computational tools to evaluate the efficacy of each peptide individually and to determine the most effective one for better vaccine development and/or immunotherapy. METHODS: VaxiJen web and AllerTOP servers were used for antigenicity and allergenicity prediction, respectively. The ToxinPred web server was used to investigate the peptide toxicity. Each peptide was docked with its corresponding receptors. RESULTS: No peptides were expected to be toxic. P315 and P2941 are predicted to have robust antigenic properties, lowest allergenicity, and minimal sOPEP energies. In turn, P315 (derived from gpE1) formed the highest hydrophobic bonds with the BCR and CD81 receptors that will elicit B cell function. P2941 (derived from NS5B) was shown to strongly bind to both CD4 and CD8 receptors that will elicit T cell function. CONCLUSION: P315 successfully bound to B cell (BCR and CD81) receptors. Also, P2941 is strongly bound to T cell (CD4 and CD8) receptors. Springer Berlin Heidelberg 2023-11-14 /pmc/articles/PMC10646107/ /pubmed/37962693 http://dx.doi.org/10.1186/s43141-023-00583-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Muhammad, Ashraf M. Salum, Ghada M. Meguid, Mai Abd El Fotouh, Basma E. Dawood, Reham M. Bioinformatics analysis of multi-epitope peptide vaccines against Hepatitis C virus: a molecular docking study |
title | Bioinformatics analysis of multi-epitope peptide vaccines against Hepatitis C virus: a molecular docking study |
title_full | Bioinformatics analysis of multi-epitope peptide vaccines against Hepatitis C virus: a molecular docking study |
title_fullStr | Bioinformatics analysis of multi-epitope peptide vaccines against Hepatitis C virus: a molecular docking study |
title_full_unstemmed | Bioinformatics analysis of multi-epitope peptide vaccines against Hepatitis C virus: a molecular docking study |
title_short | Bioinformatics analysis of multi-epitope peptide vaccines against Hepatitis C virus: a molecular docking study |
title_sort | bioinformatics analysis of multi-epitope peptide vaccines against hepatitis c virus: a molecular docking study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646107/ https://www.ncbi.nlm.nih.gov/pubmed/37962693 http://dx.doi.org/10.1186/s43141-023-00583-w |
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