Roither Bernhard, Oostenbrink Chris, Pfeiler Georg, Koelbl Heinz, Schreiner Wolfgang
Institute of Biosimulation and Bioinformatics, Medical University of Vienna, Spitalgasse 23/88.04, 1090 Vienna, Austria.
Institute of Molecular Modeling and Simulation, University of Natural Resources and Life Science, Muthgasse 18, 1190 Vienna, Austria.
Cancers (Basel). 2020 Dec 22;13(1):5. doi: 10.3390/cancers13010005.
To improve cancer immunotherapy, a clearer understanding of key targets such as the immune checkpoint receptor PD-1 is essential. The PD-1 inhibitors nivolumab and pembrolizumab were recently approved by the FDA. The CC'-loop of PD-1 has been identified as a hotspot for drug targeting. Here, we investigate the influence of nivolumab and pembrolizumab on the molecular motion of the CC'-loop of PD-1. We performed molecular dynamics simulations on the complete extracellular domain of PD-1, in complex with PD-L1, and the blocking antibodies nivolumab and pembrolizumab. Conformations of the CC'-loop were analyzed unsupervised with the Daura et al. clustering algorithm and multidimensional scaling. Surprisingly, two conformations found were seen to correspond to the 'open' and 'closed' conformation of CC'-loop in apo-PD-1, already known from literature. Unsupervised clustering also surprisingly reproduced the natural ligand, PD-L1, exclusively stabilizing the 'closed' conformation, as also known from literature. Nivolumab, like PD-L1, was found to shift the equilibrium towards the 'closed' conformation, in accordance with the conformational selection model. Pembrolizumab, on the other hand, induced a third conformation of the CC'-loop which has not been described to date: Relative to the conformation 'open' the, CC'-loop turned 180° to form a new conformation which we called 'overturned'. We show that the combination of clustering and multidimensional scaling is a fast, easy, and powerful method in analyzing structural changes in proteins. Possible refined antibodies or new small molecular compounds could utilize the flexibility of the CC'-loop to improve immunotherapy.
为了改进癌症免疫疗法,更清楚地了解诸如免疫检查点受体PD-1等关键靶点至关重要。PD-1抑制剂纳武单抗和派姆单抗最近已获美国食品药品监督管理局(FDA)批准。PD-1的CC'环已被确定为药物靶向的热点区域。在此,我们研究纳武单抗和派姆单抗对PD-1的CC'环分子运动的影响。我们对与PD-L1以及阻断抗体纳武单抗和派姆单抗形成复合物的PD-1完整胞外域进行了分子动力学模拟。使用Daura等人的聚类算法和多维缩放对CC'环的构象进行了无监督分析。令人惊讶的是,发现的两种构象对应于文献中已报道的脱辅基PD-1中CC'环的“开放”和“闭合”构象。无监督聚类还令人惊讶地重现了天然配体PD-L1,它专门稳定“闭合”构象,这也是文献中已知的。与PD-L1一样,根据构象选择模型,发现纳武单抗使平衡向“闭合”构象移动。另一方面,派姆单抗诱导了CC'环的第三种构象,这种构象迄今尚未被描述:相对于“开放”构象,CC'环旋转180°形成一种新的构象,我们称之为“翻转”构象。我们表明,聚类和多维缩放相结合是分析蛋白质结构变化的一种快速、简便且强大的方法。可能的优化抗体或新型小分子化合物可以利用CC'环的灵活性来改进免疫疗法。