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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:在抗原肽的HLA结合之后,诱导自适应免疫应答的关键是TCR识别HLA /肽复合物。关于识别和结合问题,已经设计了许多序列和基于结构的预测因子。然而,基于结构的基于结构的免疫原性曲目的高通量筛选通常不适合。然后需要在与基于某些结构的计算方法结合或结合使用的基于结构的基于结构的特征来收获简单的差异且基于结构的特征,以帮助缩小搜索空间。在本文中,研究了由HLA-A * 0201分子结合的非抗原肽的粘合长度,键角和扭转角度。观察到一些一致的模式对于φ和π扭转,表明当采用某些允许值的扭转角度是有利的,可以通过TCR进一步识别到已经通过HLA的抗原肽 - 已经束缚。然后建立简单的二分化规则,并以73.33%的灵敏度,75.55%的特异性和74.44%的精度成功施用。

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