基于模糊积分和支持向量机分类器的H2N2流感病毒HA蛋白免疫原性变异理论评价

Po-Fon Chen, Ya-Li Hsiao, Hsiang-Chuan Liu, Pei-Chun Chang
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引用次数: 1

摘要

血凝素(HA)是流感病毒的表面蛋白,在感染过程中起重要作用。它是一种诱导免疫反应的抗原,目前被用作流感疫苗的效力标记。抗原表位是抗原中能够被免疫系统特异性识别并诱导免疫应答的片段。蛋白抗原的t细胞表位是由MHC分子通过MHC I类途径或MHC II类途径呈现在细胞表面的一些肽。抗原呈递机制在这两种途径中是不同的。MHC I类途径用于向细胞毒性T细胞呈递内源性抗原,而MHC II类途径用于向辅助T细胞呈递细胞外抗原。具有较强免疫应答的抗原表位是疫苗设计的良好靶点。最近,H2N2型流感有再次流行的趋势。了解近十年来H2N2流感HA蛋白的免疫原性变化对解读感染趋势具有重要意义。这也是提前设计有效疫苗的线索。模糊测度考虑了一系列特殊的测度,并分别由一个特殊的性质来定义。模糊测度理论的概念由Choquet于1953年提出,并由Sugeno于1974年在模糊积分的背景下独立定义。Choquet积分是一种基于任意模糊测度的模糊积分,它为信息聚合提供了一种计算方案。本文提出了一种基于模糊测度和支持向量机分类器的免疫原性预测算法。因此,我们应用该预测方法评估了过去30年H2N2流感病毒HA蛋白的免疫原性变化。结果表明,MHCⅱ类应答的免疫原性减弱,提示H2N2病毒爆发流感的趋势增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Theoretical assessment of immunogenicity variation on the HA protein of H2N2 influenza virus by using fuzzy integral and SVM classifier
Hemagglutinin (HA) is the surface protein of influenza viruses, which is known to play important role in the infection process. It is the antigen that inducing immune responses and currently be used as the influenza vaccine potency marker. Epitope are some segments in the antigen which could be recognized by the immune system specifically and induce immune response. The T-cell epitopes of protein antigens are some peptides that presented on the cell surface by MHC molecules via the MHC class I pathway or the MHC class II pathway. The antigen presentation mechanisms are different in these two pathways. The MHC class I pathway is used to present endogeneous antigens to cytotoxic T cell, while the MHC class II pathway is used to present the extracellular antigens to helper T cell. The epitope with strong immune response is good target for vaccine design. Recently, the type of H2N2 influenza has a tendency towards popular again. To understand the immunogenicity variation among the HA proteins of H2N2 influenza for the past decade is important for deciphering the infection tendency. It is also a clue to design effective vaccine in advance. Fuzzy measure considers a series of special classes of measures and defined by a special property, respectively. The concept of fuzzy measure theory was introduced by Choquet in 1953 and independently defined by Sugeno in 1974 in the context of fuzzy integrals. The Choquet integral is a fuzzy integral based on any fuzzy measure that provides a computational scheme for information aggregation. In this study, we proposed a novel algorithm with high accuracy in immunogenicity prediction based on fuzzy measure and SVM classifier. Accordingly, we applied this prediction method to assess the immunogenicity variation on the HA protein of H2N2 influenza virus for the past three decades. The results show that the immunogenicity strength decreased for MHC class II response that implied the increasing tendency of influenza outbreak by H2N2 virus.
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