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HLA3D: an integrated structure-based computational toolkit for immunotherapy
MOTIVATION: The human major histocompatibility complex (MHC), also known as human leukocyte antigen (HLA), plays an important role in the adaptive immune system by presenting non-self-peptides to T cell receptors. The MHC region has been shown to be associated with a variety of diseases, including a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116210/ https://www.ncbi.nlm.nih.gov/pubmed/35289353 http://dx.doi.org/10.1093/bib/bbac076 |
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author | Li, Xingyu Lin, Xue Mei, Xueyin Chen, Pin Liu, Anna Liang, Weicheng Chang, Shan Li, Jian |
author_facet | Li, Xingyu Lin, Xue Mei, Xueyin Chen, Pin Liu, Anna Liang, Weicheng Chang, Shan Li, Jian |
author_sort | Li, Xingyu |
collection | PubMed |
description | MOTIVATION: The human major histocompatibility complex (MHC), also known as human leukocyte antigen (HLA), plays an important role in the adaptive immune system by presenting non-self-peptides to T cell receptors. The MHC region has been shown to be associated with a variety of diseases, including autoimmune diseases, organ transplantation and tumours. However, structural analytic tools of HLA are still sparse compared to the number of identified HLA alleles, which hinders the disclosure of its pathogenic mechanism. RESULT: To provide an integrative analysis of HLA, we first collected 1296 amino acid sequences, 256 protein data bank structures, 120 000 frequency data of HLA alleles in different populations, 73 000 publications and 39 000 disease-associated single nucleotide polymorphism sites, as well as 212 modelled HLA heterodimer structures. Then, we put forward two new strategies for building up a toolkit for transplantation and tumour immunotherapy, designing risk alignment pipeline and antigenic peptide prediction pipeline by integrating different resources and bioinformatic tools. By integrating 100 000 calculated HLA conformation difference and online tools, risk alignment pipeline provides users with the functions of structural alignment, sequence alignment, residue visualization and risk report generation of mismatched HLA molecules. For tumour antigen prediction, we first predicted 370 000 immunogenic peptides based on the affinity between peptides and MHC to generate the neoantigen catalogue for 11 common tumours. We then designed an antigenic peptide prediction pipeline to provide the functions of mutation prediction, peptide prediction, immunogenicity assessment and docking simulation. We also present a case study of hepatitis B virus mutations associated with liver cancer that demonstrates the high legitimacy of our antigenic peptide prediction process. HLA3D, including different HLA analytic tools and the prediction pipelines, is available at http://www.hla3d.cn/. |
format | Online Article Text |
id | pubmed-9116210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91162102022-05-19 HLA3D: an integrated structure-based computational toolkit for immunotherapy Li, Xingyu Lin, Xue Mei, Xueyin Chen, Pin Liu, Anna Liang, Weicheng Chang, Shan Li, Jian Brief Bioinform Problem Solving Protocol MOTIVATION: The human major histocompatibility complex (MHC), also known as human leukocyte antigen (HLA), plays an important role in the adaptive immune system by presenting non-self-peptides to T cell receptors. The MHC region has been shown to be associated with a variety of diseases, including autoimmune diseases, organ transplantation and tumours. However, structural analytic tools of HLA are still sparse compared to the number of identified HLA alleles, which hinders the disclosure of its pathogenic mechanism. RESULT: To provide an integrative analysis of HLA, we first collected 1296 amino acid sequences, 256 protein data bank structures, 120 000 frequency data of HLA alleles in different populations, 73 000 publications and 39 000 disease-associated single nucleotide polymorphism sites, as well as 212 modelled HLA heterodimer structures. Then, we put forward two new strategies for building up a toolkit for transplantation and tumour immunotherapy, designing risk alignment pipeline and antigenic peptide prediction pipeline by integrating different resources and bioinformatic tools. By integrating 100 000 calculated HLA conformation difference and online tools, risk alignment pipeline provides users with the functions of structural alignment, sequence alignment, residue visualization and risk report generation of mismatched HLA molecules. For tumour antigen prediction, we first predicted 370 000 immunogenic peptides based on the affinity between peptides and MHC to generate the neoantigen catalogue for 11 common tumours. We then designed an antigenic peptide prediction pipeline to provide the functions of mutation prediction, peptide prediction, immunogenicity assessment and docking simulation. We also present a case study of hepatitis B virus mutations associated with liver cancer that demonstrates the high legitimacy of our antigenic peptide prediction process. HLA3D, including different HLA analytic tools and the prediction pipelines, is available at http://www.hla3d.cn/. Oxford University Press 2022-03-14 /pmc/articles/PMC9116210/ /pubmed/35289353 http://dx.doi.org/10.1093/bib/bbac076 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Problem Solving Protocol Li, Xingyu Lin, Xue Mei, Xueyin Chen, Pin Liu, Anna Liang, Weicheng Chang, Shan Li, Jian HLA3D: an integrated structure-based computational toolkit for immunotherapy |
title | HLA3D: an integrated structure-based computational toolkit for immunotherapy |
title_full | HLA3D: an integrated structure-based computational toolkit for immunotherapy |
title_fullStr | HLA3D: an integrated structure-based computational toolkit for immunotherapy |
title_full_unstemmed | HLA3D: an integrated structure-based computational toolkit for immunotherapy |
title_short | HLA3D: an integrated structure-based computational toolkit for immunotherapy |
title_sort | hla3d: an integrated structure-based computational toolkit for immunotherapy |
topic | Problem Solving Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9116210/ https://www.ncbi.nlm.nih.gov/pubmed/35289353 http://dx.doi.org/10.1093/bib/bbac076 |
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