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Analysis of Conformational B-Cell Epitopes in the Antibody-Antigen Complex Using the Depth Function and the Convex Hull

机译:使用深度函数和凸包分析抗体-抗原复合物中的构象B细胞表位

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摘要

The prediction of conformational b-cell epitopes plays an important role in immunoinformatics. Several computational methods are proposed on the basis of discrimination determined by the solvent-accessible surface between epitopes and non-epitopes, but the performance of existing methods is far from satisfying. In this paper, depth functions and the k-th surface convex hull are used to analyze epitopes and exposed non-epitopes. On each layer of the protein, we compute relative solvent accessibility and four different types of depth functions, i.e., Chakravarty depth, DPX, half-sphere exposure and half space depth, to analyze the location of epitopes on different layers of the proteins. We found that conformational b-cell epitopes are rich in charged residues Asp, Glu, Lys, Arg, His; aliphatic residues Gly, Pro; non-charged residues Asn, Gln; and aromatic residue Tyr. Conformational b-cell epitopes are rich in coils. Conservation of epitopes is not significantly lower than that of exposed non-epitopes. The average depths (obtained by four methods) for epitopes are significantly lower than that of non-epitopes on the surface using the Wilcoxon rank sum test. Epitopes are more likely to be located in the outer layer of the convex hull of a protein. On the benchmark dataset, the cumulate 10th convex hull covers 84.6% of exposed residues on the protein surface area, and nearly 95% of epitope sites. These findings may be helpful in building a predictor for epitopes.
机译:构象b细胞表位的预测在免疫信息学中起重要作用。根据表位和非表位之间溶剂可及表面的区别,提出了几种计算方法,但是现有方法的性能远远不能令人满意。在本文中,深度函数和第k个表面凸包用于分析表位和暴露的非表位。在蛋白质的每一层上,我们计算相对溶剂可及性和四种不同类型的深度函数(即脉轮深度,DPX,半球暴露和半空间深度)来分析表位在蛋白质不同层上的位置。我们发现,构象b细胞表位富含带电荷的残基Asp,Glu,Lys,Arg,His。脂肪族残基Gly,Pro;不带电荷的残基Asn,Gln;和芳香族残基Tyr。构象性b细胞表位富含线圈。表位的保守性并不显着低于暴露的非表位的保守性。使用Wilcoxon秩和检验,表位的平均深度(通过四种方法获得)显着低于表面上非表位的平均深度。表位更可能位于蛋白质凸包的外层。在基准数据集上,累积的第十个凸包覆盖了蛋白质表面积上84.6%的暴露残基,以及近95%的表位。这些发现可能有助于建立表位的预测因子。

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