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蛋白质中高级结构模式的识别:免疫核心。

Recognition of higher order patterns in proteins: immunologic kernels.

机构信息

ioGenetics LLC, Madison, Wisconsin, United States of America.

出版信息

PLoS One. 2013 Jul 29;8(7):e70115. doi: 10.1371/journal.pone.0070115. Print 2013.

Abstract

By applying analysis of the principal components of amino acid physical properties we predicted cathepsin cleavage sites, MHC binding affinity, and probability of B-cell epitope binding of peptides in tetanus toxin and in ten diverse additional proteins. Cross-correlation of these metrics, for peptides of all possible amino acid index positions, each evaluated in the context of a ±25 amino acid flanking region, indicated that there is a strongly repetitive pattern of short peptides of approximately thirty amino acids each bounded by cathepsin cleavage sites and each comprising B-cell linear epitopes, MHC-I and MHC-II binding peptides. Such "immunologic kernel" peptides comprise all signals necessary for adaptive immunologic cognition, response and recall. The patterns described indicate a higher order spatial integration that forms a symbolic logic coordinating the adaptive immune system.

摘要

通过对氨基酸物理性质的主成分分析,我们预测了破伤风毒素和十种不同的额外蛋白质中肽的组织蛋白酶切割位点、MHC 结合亲和力和 B 细胞表位结合的概率。这些指标的互相关,针对所有可能的氨基酸指数位置的肽,在±25 个氨基酸侧翼区域的上下文中进行评估,表明存在一种强烈的重复模式,即大约三十个氨基酸的短肽,每个肽都被组织蛋白酶切割位点所限制,并且每个肽都包含 B 细胞线性表位、MHC-I 和 MHC-II 结合肽。这种“免疫核心”肽包含了适应性免疫认知、反应和回忆所必需的所有信号。所描述的模式表明了一种更高阶的空间整合,形成了一种协调适应性免疫系统的符号逻辑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dd3/3726486/94dcc714f08e/pone.0070115.g001.jpg

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