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基于结构的MHC结合肽预测实用指南。

A practical guide to structure-based prediction of MHC-binding peptides.

作者信息

Ranganathan Shoba, Tong Joo Chuan

机构信息

Department of Chemistry, Macquarie University, New South Wales, Australia.

出版信息

Methods Mol Biol. 2007;409:301-8. doi: 10.1007/978-1-60327-118-9_22.

Abstract

The binding of bound peptide ligands to major histocompatibility complex (MHC) molecules plays a key role in the activation of normal immune responses and is an intricate theoretical problem that remains unsolved. Geometric and energetic complementarities between an MHC molecule and its corresponding bound peptide ligand are critical in determining the stability of the complex. In this context, the introduction of structural information can greatly facilitate our understanding of how well a peptide ligand can associate with a particular MHC molecule. This chapter introduces the use of structural models as a predictive method to determine whether a peptide sequence can bind to a specific MHC allele.

摘要

结合态肽配体与主要组织相容性复合体(MHC)分子的结合在正常免疫反应的激活中起关键作用,并且是一个尚未解决的复杂理论问题。MHC分子与其相应的结合态肽配体之间的几何和能量互补性对于确定复合物的稳定性至关重要。在这种情况下,引入结构信息可以极大地促进我们对肽配体与特定MHC分子结合程度的理解。本章介绍使用结构模型作为一种预测方法来确定肽序列是否能与特定的MHC等位基因结合。

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