Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates : implications for TCR cross-recognition and vaccine development

Background: The pandemic 2009-H1N1 influenza virus circulated in the human population and caused thousands deaths worldwide. Studies on pandemic influenza vaccines have shown that T cell recognition to conserved epitopes and cross-reactive T cell responses are important when new strains emerge, espe...

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Published in:BMC Bioinformatics
Main Authors: Su, Chinh Tran To., Schönbach, Christian., Kwoh, Chee Keong.
Other Authors: Bioinformatics Research Centre, School of Computer Engineering
Format: Article in Journal/Newspaper
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10220/18334
https://doi.org/10.1186/1471-2105-14-S2-S21
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spelling ftnanyangtu:oai:dr.ntu.edu.sg:10220/18334 2023-05-15T15:34:29+02:00 Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates : implications for TCR cross-recognition and vaccine development Su, Chinh Tran To. Schönbach, Christian. Kwoh, Chee Keong. Bioinformatics Research Centre School of Computer Engineering 2013 http://hdl.handle.net/10220/18334 https://doi.org/10.1186/1471-2105-14-S2-S21 en eng BMC Bioinformatics Su, C. T., Schönbach, C., & Kwoh, C. K. (2013). Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates: implications for TCR cross-recognition and vaccine development. BMC Bioinformatics, 14(Suppl 2), S21. 1471-2105 http://hdl.handle.net/10220/18334 http://dx.doi.org/10.1186/1471-2105-14-S2-S21 © 2013 The Author(s), licensee BioMed Central Ltd. This paper was published in BMC Bioinformatics and is made available as an electronic reprint (preprint) with permission of The Author(s). The paper can be found at the following official DOI: http://dx.doi.org/10.1186/1471-2105-14-S2-S21. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. BioMed Central's Open Data policy. Unless otherwise stated, data included in published open access articles are distributed under the terms of the Creative Commons CC0 1.0 Public Domain Dedication waiver. This applies to data included in the article, its reference list(s) and its additional files. PDM CC0 DRNTU::Engineering::Computer science and engineering Journal Article 2013 ftnanyangtu https://doi.org/10.1186/1471-2105-14-S2-S21 2019-05-24T19:26:58Z Background: The pandemic 2009-H1N1 influenza virus circulated in the human population and caused thousands deaths worldwide. Studies on pandemic influenza vaccines have shown that T cell recognition to conserved epitopes and cross-reactive T cell responses are important when new strains emerge, especially in the absence of antibody cross-reactivity. In this work, using HLA-B*4405 and DM1-TCR structure model, we systematically generated high confidence conserved 2009-H1N1 T cell epitope candidates and investigated their potential cross-reactivity against H5N1 avian flu virus. Results: Molecular docking analysis of differential DM1-TCR recognition of the 2009-H1N1 epitope candidates yielded a mosaic epitope (KEKMNTEFW) and potential H5N1 HA cross-reactive epitopes that could be applied as multivalent peptide towards influenza A vaccine development. Structural models of TCR cross-recognition between 2009-H1N1 and 2004-H5N1 revealed steric and topological effects of TCR contact residue mutations on TCR binding affinity. Conclusions: The results are novel with regard to HA epitopes and useful for developing possible vaccination strategies against the rapidly changing influenza viruses. Yet, the challenge of identifying epitope candidates that result in heterologous T cell immunity under natural influenza infection conditions can only be overcome if more structural data on the TCR repertoire become available. Published version Article in Journal/Newspaper Avian flu DR-NTU (Digital Repository at Nanyang Technological University, Singapore) BMC Bioinformatics 14 Suppl 2 S21
institution Open Polar
collection DR-NTU (Digital Repository at Nanyang Technological University, Singapore)
op_collection_id ftnanyangtu
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Su, Chinh Tran To.
Schönbach, Christian.
Kwoh, Chee Keong.
Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates : implications for TCR cross-recognition and vaccine development
topic_facet DRNTU::Engineering::Computer science and engineering
description Background: The pandemic 2009-H1N1 influenza virus circulated in the human population and caused thousands deaths worldwide. Studies on pandemic influenza vaccines have shown that T cell recognition to conserved epitopes and cross-reactive T cell responses are important when new strains emerge, especially in the absence of antibody cross-reactivity. In this work, using HLA-B*4405 and DM1-TCR structure model, we systematically generated high confidence conserved 2009-H1N1 T cell epitope candidates and investigated their potential cross-reactivity against H5N1 avian flu virus. Results: Molecular docking analysis of differential DM1-TCR recognition of the 2009-H1N1 epitope candidates yielded a mosaic epitope (KEKMNTEFW) and potential H5N1 HA cross-reactive epitopes that could be applied as multivalent peptide towards influenza A vaccine development. Structural models of TCR cross-recognition between 2009-H1N1 and 2004-H5N1 revealed steric and topological effects of TCR contact residue mutations on TCR binding affinity. Conclusions: The results are novel with regard to HA epitopes and useful for developing possible vaccination strategies against the rapidly changing influenza viruses. Yet, the challenge of identifying epitope candidates that result in heterologous T cell immunity under natural influenza infection conditions can only be overcome if more structural data on the TCR repertoire become available. Published version
author2 Bioinformatics Research Centre
School of Computer Engineering
format Article in Journal/Newspaper
author Su, Chinh Tran To.
Schönbach, Christian.
Kwoh, Chee Keong.
author_facet Su, Chinh Tran To.
Schönbach, Christian.
Kwoh, Chee Keong.
author_sort Su, Chinh Tran To.
title Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates : implications for TCR cross-recognition and vaccine development
title_short Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates : implications for TCR cross-recognition and vaccine development
title_full Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates : implications for TCR cross-recognition and vaccine development
title_fullStr Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates : implications for TCR cross-recognition and vaccine development
title_full_unstemmed Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates : implications for TCR cross-recognition and vaccine development
title_sort molecular docking analysis of 2009-h1n1 and 2004-h5n1 influenza virus hla-b*4405-restricted ha epitope candidates : implications for tcr cross-recognition and vaccine development
publishDate 2013
url http://hdl.handle.net/10220/18334
https://doi.org/10.1186/1471-2105-14-S2-S21
genre Avian flu
genre_facet Avian flu
op_relation BMC Bioinformatics
Su, C. T., Schönbach, C., & Kwoh, C. K. (2013). Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates: implications for TCR cross-recognition and vaccine development. BMC Bioinformatics, 14(Suppl 2), S21.
1471-2105
http://hdl.handle.net/10220/18334
http://dx.doi.org/10.1186/1471-2105-14-S2-S21
op_rights © 2013 The Author(s), licensee BioMed Central Ltd. This paper was published in BMC Bioinformatics and is made available as an electronic reprint (preprint) with permission of The Author(s). The paper can be found at the following official DOI: http://dx.doi.org/10.1186/1471-2105-14-S2-S21. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
BioMed Central's Open Data policy. Unless otherwise stated, data included in published open access articles are distributed under the terms of the Creative Commons CC0 1.0 Public Domain Dedication waiver. This applies to data included in the article, its reference list(s) and its additional files.
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