• 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

Predicting class II MHC/peptide multi-level binding with an iterative stepwise discriminant analysis meta-algorithm.

作者信息

Mallios R R

机构信息

Office of Sponsored Projects and Research, University of California, San Francisco, 2615 East Clinton Avenue, Fresno, CA 93703, USA.

出版信息

Bioinformatics. 2001 Oct;17(10):942-8. doi: 10.1093/bioinformatics/17.10.942.

DOI:10.1093/bioinformatics/17.10.942
PMID:11673239
Abstract

MOTIVATION

Predicting peptides that bind to both Major Histocompatibility Complex (MHC) molecules and T cell receptors provides crucial information for vaccine development. An agretope is that portion of a peptide that interacts with an MHC molecule. The identification and prediction of agretopes is the first step towards vaccine design.

RESULTS

An iterative stepwise discriminant analysis meta-algorithm is utilized to derive a quantitative motif for classifying potential agretopes as high-, moderate- or non-binders for HLA-DR1, a class II MHC molecule. A large molecular online database provides the input for this data-driven algorithm. The model correctly classifies over 85% of the peptides in the database.

AVAILABILITY

Stepwise discriminant analysis software is available commercially in SPSS and BMDP statistical software packages. Peptides known to bind MHC molecules can be downloaded from http://wehih.wehi.edu.au/mhcpep/. Peptides known not to bind HLA-DR1 are available from the author upon request.

CONTACT

ronna@ucsfresno.edu.

摘要

相似文献

1
Predicting class II MHC/peptide multi-level binding with an iterative stepwise discriminant analysis meta-algorithm.
Bioinformatics. 2001 Oct;17(10):942-8. doi: 10.1093/bioinformatics/17.10.942.
2
Class II MHC quantitative binding motifs derived from a large molecular database with a versatile iterative stepwise discriminant analysis meta-algorithm.利用通用迭代逐步判别分析元算法从大型分子数据库中得出的II类主要组织相容性复合体定量结合基序。
Bioinformatics. 1999 Jun;15(6):432-9. doi: 10.1093/bioinformatics/15.6.432.
3
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.
4
An iterative algorithm for converting a class II MHC binding motif into a quantitative predictive model.一种将II类主要组织相容性复合体结合基序转化为定量预测模型的迭代算法。
Comput Appl Biosci. 1997 Jun;13(3):211-5. doi: 10.1093/bioinformatics/13.3.211.
5
Iterative stepwise discriminant analysis: a meta-algorithm for detecting quantitative sequence motifs.迭代逐步判别分析：一种用于检测定量序列基序的元算法。
J Comput Biol. 1998 Winter;5(4):703-11. doi: 10.1089/cmb.1998.5.703.
6
Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network.使用进化算法和人工神经网络预测MHC II类结合肽
Bioinformatics. 1998;14(2):121-30. doi: 10.1093/bioinformatics/14.2.121.
7
An iterative approach to class II predictions.用于II类预测的迭代方法。
Methods Mol Biol. 2007;409:341-53. doi: 10.1007/978-1-60327-118-9_25.
8
A recombinant single-chain human class II MHC molecule (HLA-DR1) as a covalently linked heterotrimer of alpha chain, beta chain, and antigenic peptide, with immunogenicity in vitro and reduced affinity for bacterial superantigens.一种重组单链人II类主要组织相容性复合体分子（HLA-DR1），作为α链、β链和抗原肽的共价连接异源三聚体，在体外具有免疫原性，且对细菌超抗原的亲和力降低。
Eur J Immunol. 1997 Aug;27(8):1933-41. doi: 10.1002/eji.1830270817.
9
Peptide length-based prediction of peptide-MHC class II binding.基于肽段长度的肽-MHC II类分子结合预测
Bioinformatics. 2006 Nov 15;22(22):2761-7. doi: 10.1093/bioinformatics/btl479. Epub 2006 Sep 25.
10
Predominant naturally processed peptides bound to HLA-DR1 are derived from MHC-related molecules and are heterogeneous in size.与HLA - DR1结合的主要天然加工肽源自MHC相关分子，且大小各异。
Nature. 1992 Aug 27;358(6389):764-8. doi: 10.1038/358764a0.

引用本文的文献

1
A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits.深度学习集成的微 CT 图像分析流水线，用于量化水稻抗倒伏相关性状。
Plant Commun. 2021 Jan 29;2(2):100165. doi: 10.1016/j.xplc.2021.100165. eCollection 2021 Mar 8.
2
Polymorphisms in the F8 gene and MHC-II variants as risk factors for the development of inhibitory anti-factor VIII antibodies during the treatment of hemophilia a: a computational assessment.F8 基因多态性和 MHC-II 变体作为血友病 A 治疗过程中抑制性抗因子 VIII 抗体产生的风险因素：计算评估。
PLoS Comput Biol. 2013;9(5):e1003066. doi: 10.1371/journal.pcbi.1003066. Epub 2013 May 16.
3
Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods.
泛特异性MHC I类预测因子：HLA I类泛特异性预测方法的基准。
Bioinformatics. 2009 Jan 1;25(1):83-9. doi: 10.1093/bioinformatics/btn579. Epub 2008 Nov 7.
4
Analysis of known bacterial protein vaccine antigens reveals biased physical properties and amino acid composition.对已知细菌蛋白疫苗抗原的分析揭示了其物理性质和氨基酸组成存在偏差。
Comp Funct Genomics. 2003;4(5):468-78. doi: 10.1002/cfg.319.
5
A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach.MHC II类肽结合预测的系统评估及一种共识方法的评价
PLoS Comput Biol. 2008 Apr 4;4(4):e1000048. doi: 10.1371/journal.pcbi.1000048.
6
A probabilistic meta-predictor for the MHC class II binding peptides.一种用于II类主要组织相容性复合体结合肽的概率性元预测器。
Immunogenetics. 2008 Jan;60(1):25-36. doi: 10.1007/s00251-007-0266-y. Epub 2007 Dec 19.
7
Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms.使用多目标进化算法预测与II类主要组织相容性复合体分子结合的肽段
BMC Bioinformatics. 2007 Nov 22;8:459. doi: 10.1186/1471-2105-8-459.
8
Prediction of supertype-specific HLA class I binding peptides using support vector machines.使用支持向量机预测超类型特异性HLA I类结合肽
J Immunol Methods. 2007 Mar 30;320(1-2):143-54. doi: 10.1016/j.jim.2006.12.011. Epub 2007 Jan 25.
9
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores.预测II类主要组织相容性复合体-肽结合：一种使用相似性分数的基于核的方法。
BMC Bioinformatics. 2006 Nov 14;7:501. doi: 10.1186/1471-2105-7-501.
10
MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical properties.MHC-BPS：用于从序列衍生的物理化学性质中识别可变长度肽段的MHC结合物预测服务器。
Immunogenetics. 2006 Aug;58(8):607-13. doi: 10.1007/s00251-006-0117-2. Epub 2006 Jul 11.