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鉴定 HLA I 肽结合过程的核心调控因子。

Identification of the core regulators of the HLA I-peptide binding process.

机构信息

Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Shanghai 200031, People's Republic of China.

School of Life Sciences and Biotechnology, Shanghai Jiaotong University, Shanghai 200240, People's Republic of China.

出版信息

Sci Rep. 2017 Feb 17;7:42768. doi: 10.1038/srep42768.

Abstract

During the display of peptide/human leukocyte antigen (HLA) -I complex for further immune recognition, the cleaved and transported antigenic peptides have to bind to HLA-I protein and the binding affinity between peptide epitopes and HLA proteins directly influences the immune recognition ability in human beings. Key factors affecting the binding affinity during the generation, selection and presentation processes of HLA-I complex have not yet been fully discovered. In this study, a new method describing the HLA class I-peptide interactions was proposed. Three hundred and forty features of HLA I proteins and peptide sequences were utilized for analysis by four candidate algorithms, screening the optimal classifier. Features derived from the optimal classifier were further selected and systematically analyzed, revealing the core regulators. The results validated the hypothesis that features of HLA I proteins and related peptides simultaneously affect the binding process, though with discrepant redundancy. Besides, the high relative ratio (16/20) of the amino acid composition features suggests the unique role of sequence signatures for the binding processes. Integrating biological, evolutionary and chemical features of both HLA I molecules and peptides, this study may provide a new perspective of the underlying mechanisms of HLA I-mediated immune reactions.

摘要

在展示肽/人类白细胞抗原 (HLA)-I 复合物以进行进一步的免疫识别时,已切割和转运的抗原肽必须与 HLA-I 蛋白结合,而肽表位与 HLA 蛋白之间的结合亲和力直接影响人类的免疫识别能力。影响 HLA-I 复合物生成、选择和呈递过程中结合亲和力的关键因素尚未被完全发现。在这项研究中,提出了一种描述 HLA I 类蛋白-肽相互作用的新方法。利用四个候选算法分析了 340 种 HLA I 蛋白和肽序列的特征,筛选出最佳分类器。从最佳分类器中导出的特征进一步被选择并进行系统分析,揭示了核心调节因子。结果验证了 HLA I 蛋白和相关肽的特征同时影响结合过程的假设,尽管冗余程度不同。此外,氨基酸组成特征的相对比例(16/20)较高,表明序列特征对结合过程具有独特的作用。本研究整合了 HLA I 分子和肽的生物学、进化和化学特征,为 HLA I 介导的免疫反应的潜在机制提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10b6/5314381/30968e9e8fa9/srep42768-f1.jpg

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