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Structural analysis of (TCR—)HLA/peptide complexes: An initial study

机译:(TCR-)HLA /肽复合物的结构分析:初步研究

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Key to inducing adaptive immune responses is TCR recognition of HLA/peptide complexes, following HLA binding of the antigenic peptides. Numerous sequence-and structure-based predictors have been devised with regard to the recognition and the binding problem. The structure-based ones, however, are often not suited for high-throughput screenings of the greatly polymorphic immunogenic repertoire. It is then necessary to harvest simple yet discriminative structure-based features to be utilized prior to or in conjunction with some structure-based computational methods to help narrow down the search space. In this paper, bond lengths, bond angles, and torsion angles of the nonameric antigenic peptides bound by the HLA-A*0201 molecule are studied. Some consistent patterns were observed for ϕ and ψ torsions indicating that an antigenic peptide—already bound by the HLA—may be further recognized by the TCR when adoption of torsion angles that are of certain allowable values is favorable. A simple dichotomization rule was then established and applied successfully with 73.33% sensitivity, 75.55% specificity, and 74.44% accuracy.
机译:诱导适应性免疫应答的关键是抗原肽的HLA结合后TCR识别HLA /肽复合物。关于识别和结合问题,已经设计了许多基于序列和结构的预测因子。然而,基于结构的方法通常不适合对高度多态的免疫原性库进行高通量筛选。然后有必要在一些基于结构的计算方法之前或结合使用一些简单但具有区别性的基于结构的特征,以帮助缩小搜索空间。本文研究了由HLA-A * 0201分子结合的非异构抗原肽的键长,键角和扭转角。对于ϕ和ψ扭转观察到一些一致的模式,表明当采用某些允许值的扭转角有利时,TCR可以进一步识别已经被HLA结合的抗原肽。然后建立了简单的二分法规则,并成功地应用了它,灵敏度为73.33%,特异性为75.55%,准确度为74.44%。

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