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免疫原性表位预测的方法与方案。

Methods and protocols for prediction of immunogenic epitopes.

作者信息

Tong Joo Chuan, Tan Tin Wee, Ranganathan Shoba

机构信息

Institute of Infocomm Research, Singapore.

出版信息

Brief Bioinform. 2007 Mar;8(2):96-108. doi: 10.1093/bib/bbl038. Epub 2006 Oct 31.

Abstract

T-cell recognition of peptide/major histocompatibility complex (MHC) is a prerequisite for cellular immunity. Recently, there has been an influx of bioinformatics tools to facilitate the identification of T-cell epitopes to specific MHC alleles. This article examines existing computational strategies for the study of peptide/MHC interactions. The most important bioinformatics tools and methods with relevance to the study of peptide/MHC interactions have been reviewed. We have also provided guidelines for predicting antigenic peptides based on the availability of existing experimental data.

摘要

T细胞对肽/主要组织相容性复合体(MHC)的识别是细胞免疫的前提条件。最近,大量生物信息学工具涌入,以促进针对特定MHC等位基因的T细胞表位的鉴定。本文研究了用于肽/MHC相互作用研究的现有计算策略。已对与肽/MHC相互作用研究相关的最重要的生物信息学工具和方法进行了综述。我们还根据现有实验数据的可用性提供了预测抗原肽的指导原则。

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