Servicio de Hematología y Oncología Médica, Hospital Universitario Morales Meseguer, Centro Regional de Hemodonación, Universidad de Murcia, IMIB-Arrixaca, CIBERER-ISCIII, Murcia, Spain.
Structural Bioinformatics & High Performance Computing Research Group (BIO-HPC), Universidad Católica de Murcia (UCAM), Murcia, Spain.
PLoS One. 2024 Jul 5;19(7):e0304451. doi: 10.1371/journal.pone.0304451. eCollection 2024.
Serine protease inhibitors (serpins) include thousands of structurally conserved proteins playing key roles in many organisms. Mutations affecting serpins may disturb their conformation, leading to inactive forms. Unfortunately, conformational consequences of serpin mutations are difficult to predict. In this study, we integrate experimental data of patients with mutations affecting one serpin with the predictions obtained by AlphaFold and molecular dynamics. Five SERPINC1 mutations causing antithrombin deficiency, the strongest congenital thrombophilia were selected from a cohort of 350 unrelated patients based on functional, biochemical, and crystallographic evidence supporting a folding defect. AlphaFold gave an accurate prediction for the wild-type structure. However, it also produced native structures for all variants, regardless of complexity or conformational consequences in vivo. Similarly, molecular dynamics of up to 1000 ns at temperatures causing conformational transitions did not show significant changes in the native structure of wild-type and variants. In conclusion, AlphaFold and molecular dynamics force predictions into the native conformation at conditions with experimental evidence supporting a conformational change to other structures. It is necessary to improve predictive strategies for serpins that consider the conformational sensitivity of these molecules.
丝氨酸蛋白酶抑制剂(serpins)包括数千种结构保守的蛋白质,在许多生物体中发挥着关键作用。影响丝氨酸蛋白酶抑制剂的突变可能会扰乱其构象,导致其失去活性。不幸的是,丝氨酸蛋白酶抑制剂突变的构象后果难以预测。在这项研究中,我们将影响一种丝氨酸蛋白酶抑制剂的突变的患者的实验数据与通过 AlphaFold 和分子动力学获得的预测相结合。从 350 名无血缘关系的患者队列中,根据支持折叠缺陷的功能、生化和晶体学证据,选择了五个导致抗凝血酶缺乏症的 SERPINC1 突变,这是最强的先天性血栓形成倾向。AlphaFold 对野生型结构进行了准确的预测。然而,它也为所有变体生成了天然结构,无论其体内的复杂性或构象后果如何。同样,在导致构象转变的温度下进行长达 1000 纳秒的分子动力学模拟,也没有显示野生型和变体的天然结构发生显著变化。总之,AlphaFold 和分子动力学将预测力推到了实验证据支持向其他结构转变的条件下的天然构象。有必要改进考虑这些分子构象敏感性的丝氨酸蛋白酶抑制剂的预测策略。