HLA-A*0201相关免疫活性构象变化模式的鉴定

Charlie Nathanael Otto, S. D. Handoko, K. C. Keong
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引用次数: 1

摘要

适应性免疫反应的关键是特定的t细胞受体对HLA/肽复合物的识别,这显然是在HLA结合抗原肽之前发生的。HLA基因的极端多态性要求详尽的揭示可能的(TCR-)HLA/肽相互作用是棘手的,如果它仅基于湿实验室实验。基于序列和基于结构的预测因子已经被开发出来,使研究人员能够选择性地对先前预测会引发某些免疫原性活性的潜在候选物进行湿实验室实验。基于结构的预测器,通常包括使用分子模拟和联想以及解离能的概念,通常不适合高通量筛选,尽管这些预测器能够产生更准确的预测结果。随着结合和识别过程的发生,新的原子间相互作用被引入,这表明构象变化确实是预期的。尽管如此,只有部分组成部分将经历结构性变化。因此,确定构象变化可能发生的所有实质性区域是可取的。内部坐标,也就是。本文分析了HLA-A*0201在结合和识别过程发生前后的键长、键角和扭转角。因此,这些发现可以作为分子模拟中确定分子柔韧性的指导。对于其中的许多,通常将整个受体视为刚性的,整个配体视为柔性的,因为完全柔性的受体会产生巨大的计算成本。因此,半柔性受体可以在保证计算成本在合理范围内的前提下获得更好的精度。
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Identifying patterns of conformational changes in HLA-A*0201-related immunological activities
Key to adaptive immune response is the recognition of HLA/peptide complexes by a particular T-cell receptor, which obviously is preceded by HLA binding of the antigenic peptides. Extreme polymorphism of the HLA gene has claimed exhaustive revelation of the possible (TCR-)HLA/peptide interactions to be intractable should it be based on the wet-lab experiments alone. Sequence-based and structure-based predictors have since been developed to allow researchers perform the wet-lab experiments selectively on the potential candidates that have previously been predicted to elicit some immunogenic activities. Structure-based predictors, which often include the use of molecular simulations and the concept of association as well as dissociation energy, are generally unsuited for high-throughput screening despite ability of these predictors to generate more accurate prediction results. As the binding and recognition process occurs, new inter-atomic interactions are introduced—suggesting conformational changes are really anticipated. Nonetheless, only parts of the constituents shall experience structural changes. It is therefore desirable that all the substantial regions around which conformational changes are likely to happen be identified. The internal coordinates—i.e. the bond lengths, the bond angles, as well as the torsion angles—of the HLA-A*0201 were analyzed in this work before and after the binding and recognition process took place. The findings can hence be used as a guide to decide the flexibility of the molecules in the molecular simulations. For many of them, it is common to treat the whole receptor as rigid and the whole ligand as flexible since fully flexible receptor could incur huge computational cost. Semi-flexible receptor, therefore, could yield better accuracy yet maintain computational cost within reasonable limit.
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