Centre for Structural Systems Biology (CSSB), Leibniz Institute of Virology (LIV), Notkestraße 85, 22607, Hamburg, Germany.
University of Siegen, Am Eichenhang 50, 57076, Siegen, Germany.
Commun Biol. 2022 May 23;5(1):488. doi: 10.1038/s42003-022-03366-0.
An essential element of adaptive immunity is selective binding of peptide antigens by major histocompatibility complex (MHC) class I proteins and their presentation to cytotoxic T lymphocytes. Using native mass spectrometry, we analyze the binding of peptides to an empty disulfide-stabilized HLA-A*02:01 molecule and, due to its unique stability, we determine binding affinities of complexes loaded with truncated or charge-reduced peptides. We find that the two anchor positions can be stabilized independently, and we further analyze the contribution of additional amino acid positions to the binding strength. As a complement to computational prediction tools, our method estimates binding strength of even low-affinity peptides to MHC class I complexes quickly and efficiently. It has huge potential to eliminate binding affinity biases and thus accelerate drug discovery in infectious diseases, autoimmunity, vaccine design, and cancer immunotherapy.
适应性免疫的一个重要元素是主要组织相容性复合体 (MHC) 类 I 蛋白对肽抗原的选择性结合及其向细胞毒性 T 淋巴细胞的呈递。使用天然质谱法,我们分析了肽与空二硫键稳定的 HLA-A*02:01 分子的结合,并且由于其独特的稳定性,我们确定了负载有截断或电荷减少的肽的复合物的结合亲和力。我们发现两个锚定位点可以独立稳定,并且我们进一步分析了其他氨基酸位置对结合强度的贡献。作为计算预测工具的补充,我们的方法可以快速有效地估计甚至低亲和力肽与 MHC 类 I 复合物的结合强度。它具有消除结合亲和力偏差的巨大潜力,从而加速传染病、自身免疫、疫苗设计和癌症免疫治疗中的药物发现。