• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过MHC肽结合库的聚类来定义MHC超型。

Definition of MHC supertypes through clustering of MHC peptide-binding repertoires.

作者信息

Reche Pedro A, Reinherz Ellis L

机构信息

Department of Immunology, Faculated de Medicina, Universidad Complutense de Madrid, Madrid, Spain.

出版信息

Methods Mol Biol. 2007;409:163-73. doi: 10.1007/978-1-60327-118-9_11.

DOI:10.1007/978-1-60327-118-9_11
PMID:18449999
Abstract

Identification of peptides that can bind to major histocompatibility complex (MHC) molecules is important for anticipation of T-cell epitopes and for the design of epitope-based vaccines. Population coverage of epitope vaccines is, however, compromised by the extreme polymorphism of MHC molecules, which is in fact the basis for their differential peptide binding. Therefore, grouping of MHC molecules into supertypes according to peptide-binding specificity is relevant for optimizing the composition of epitope-based vaccines. Despite the fact that the peptide-binding specificity of MHC molecules is linked to their specific amino acid sequences, it is unclear how amino sequence differences correlate with peptide-binding specificities. In this chapter, we detail a method for defining MHC supertypes based on the analysis and subsequent clustering of their peptide-binding repertoires.

摘要

鉴定能够结合主要组织相容性复合体(MHC)分子的肽段对于预测T细胞表位以及设计基于表位的疫苗非常重要。然而,MHC分子的极端多态性会影响表位疫苗的群体覆盖率,而这种多态性实际上正是其肽段结合差异的基础。因此,根据肽段结合特异性将MHC分子分组为超型,对于优化基于表位的疫苗组成具有重要意义。尽管MHC分子的肽段结合特异性与其特定的氨基酸序列相关,但尚不清楚氨基酸序列差异与肽段结合特异性之间是如何关联的。在本章中,我们详细介绍了一种基于对MHC分子肽段结合库的分析及后续聚类来定义MHC超型的方法。

相似文献

1
Definition of MHC supertypes through clustering of MHC peptide-binding repertoires.通过MHC肽结合库的聚类来定义MHC超型。
Methods Mol Biol. 2007;409:163-73. doi: 10.1007/978-1-60327-118-9_11.
2
Implementing the modular MHC model for predicting peptide binding.实施用于预测肽结合的模块化MHC模型。
Methods Mol Biol. 2007;409:261-71. doi: 10.1007/978-1-60327-118-9_18.
3
Prediction of peptide-MHC binding using profiles.使用图谱预测肽与主要组织相容性复合体的结合
Methods Mol Biol. 2007;409:185-200. doi: 10.1007/978-1-60327-118-9_13.
4
Toward the prediction of class I and II mouse major histocompatibility complex-peptide-binding affinity: in silico bioinformatic step-by-step guide using quantitative structure-activity relationships.迈向I类和II类小鼠主要组织相容性复合体-肽结合亲和力的预测:使用定量构效关系的计算机生物信息学逐步指南
Methods Mol Biol. 2007;409:227-45. doi: 10.1007/978-1-60327-118-9_16.
5
Predicting peptide binding to Major Histocompatibility Complex molecules.预测肽与主要组织相容性复合体分子的结合。
Autoimmun Rev. 2011 Jun;10(8):469-73. doi: 10.1016/j.autrev.2011.02.003. Epub 2011 Feb 16.
6
Improving the prediction of HLA class I-binding peptides using a supertype-based method.基于超型的方法提高 HLA I 类结合肽预测。
J Immunol Methods. 2014 Mar;405:109-20. doi: 10.1016/j.jim.2014.01.015. Epub 2014 Feb 6.
7
Application of machine learning techniques in predicting MHC binders.机器学习技术在预测MHC结合物中的应用。
Methods Mol Biol. 2007;409:201-15. doi: 10.1007/978-1-60327-118-9_14.
8
Identifiying human MHC supertypes using bioinformatic methods.使用生物信息学方法鉴定人类MHC超型。 (注:原文中“Identifiying”拼写错误,应为“Identifying”)
J Immunol. 2004 Apr 1;172(7):4314-23. doi: 10.4049/jimmunol.172.7.4314.
9
A practical guide to structure-based prediction of MHC-binding peptides.基于结构的MHC结合肽预测实用指南。
Methods Mol Biol. 2007;409:301-8. doi: 10.1007/978-1-60327-118-9_22.
10
An evolutionary approach to major histocompatibility diversity based on allele supertypes.基于等位基因超型的主要组织相容性复合体多样性的进化方法。
Med Hypotheses. 2008;70(5):933-7. doi: 10.1016/j.mehy.2007.09.015. Epub 2007 Dec 11.

引用本文的文献

1
Immunopeptidomics of Serovar -Infected Pig Macrophages Genotyped for Class II Molecules.对II类分子进行基因分型的血清型感染猪巨噬细胞的免疫肽组学
Biology (Basel). 2024 Oct 16;13(10):832. doi: 10.3390/biology13100832.
2
Combining different bacteria in vaccine formulations enhances the chance for antiviral cross-reactive immunity: a detailed analysis for influenza A virus.将不同的细菌组合在疫苗配方中可增强抗病毒交叉反应性免疫的机会:对甲型流感病毒的详细分析。
Front Immunol. 2023 Aug 22;14:1235053. doi: 10.3389/fimmu.2023.1235053. eCollection 2023.
3
Genetic Analysis of Orf Virus (ORFV) Strains Isolated from Goats in China: Insights into Epidemiological Characteristics and Evolutionary Patterns.
中国山羊源口疮病毒(ORFV)分离株的遗传分析:对流行病学特征和进化模式的认识。
Virus Res. 2023 Sep;334:199160. doi: 10.1016/j.virusres.2023.199160. Epub 2023 Jul 5.
4
HLA-Clus: HLA class I clustering based on 3D structure.HLA-Clus:基于 3D 结构的 HLA I 类聚类。
BMC Bioinformatics. 2023 May 9;24(1):189. doi: 10.1186/s12859-023-05297-x.
5
Immunogenic epitope prediction to create a universal influenza vaccine.用于研发通用流感疫苗的免疫原性表位预测
Heliyon. 2022 Apr 30;8(5):e09364. doi: 10.1016/j.heliyon.2022.e09364. eCollection 2022 May.
6
Searching Epitope-Based Vaccines Using Bioinformatics Studies.基于表位的疫苗的生物信息学研究。
Methods Mol Biol. 2022;2412:471-479. doi: 10.1007/978-1-0716-1892-9_26.
7
Identification of CD8 T cell epitopes through proteasome cleavage site predictions.通过蛋白酶体切割位点预测鉴定 CD8 T 细胞表位。
BMC Bioinformatics. 2020 Dec 14;21(Suppl 17):484. doi: 10.1186/s12859-020-03782-1.
8
The Utility of Supertype Clustering in Prediction for Class II MHC-Peptide Binding.超类型聚类在 II 类 MHC-肽结合预测中的应用。
Molecules. 2018 Nov 20;23(11):3034. doi: 10.3390/molecules23113034.
9
Fundamentals and Methods for T- and B-Cell Epitope Prediction.T 细胞和 B 细胞表位预测的基础与方法。
J Immunol Res. 2017;2017:2680160. doi: 10.1155/2017/2680160. Epub 2017 Dec 28.
10
Computer-Aided Design of an Epitope-Based Vaccine against Epstein-Barr Virus.基于表位的 Epstein-Barr 病毒疫苗的计算机辅助设计。
J Immunol Res. 2017;2017:9363750. doi: 10.1155/2017/9363750. Epub 2017 Sep 28.