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Comparative analysis of essential collective dynamics and NMR-derived flexibility profiles in evolutionarily diverse prion proteins

机译:进化上不同的病毒蛋白中基本集体动力学和NMR衍生的柔性曲线的比较分析

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Collective motions on ns-μs time scales are known to have a major impact on protein folding, stability, binding and enzymatic efficiency. It is also believed that these motions may have an important role in the early stages of prion protein misfolding and prion disease. In an effort to accurately characterize these motions and their potential influence on the misfolding and prion disease transmissibility we have conducted a combined analysis of molecular dynamic simulations and NMR-derived flexibility measurements over a diverse range of prion proteins. Using a recently developed numerical formalism, we have analyzed the essential collective dynamics (ECD) for prion proteins from 8 different species including human, cow, elk, cat, hamster, chicken, turtle and frog. We also compared the numerical results with flexibility profiles generated by the random coil index (RCI) from NMR chemical shifts. Prion protein backbone flexibility derived from experimental NMR data and from theoretical computations show strong agreement with each other, demonstrating that it is possible to predict the observed RCI profiles employing the numerical ECD formalism. Interestingly, flexibility differences in the loop between second beta strand (S2) and the second alpha helix (HB) appear to distinguish prion proteins from species that are susceptible to prion disease and those that are resistant. Our results show that the different levels of flexibility in the S2-HB loop in various species are predictable via the ECD method, indicating that ECD may be used to identify disease resistant variants of prion proteins, as well as the influence of prion proteins mutations on disease susceptibility or misfolding propensity.
机译:已知在ns-μs时间尺度上的集体运动对蛋白质折叠,稳定性,结合和酶促效率具有重大影响。人们还认为,这些运动可能在病毒蛋白错误折叠和disease病毒疾病的早期阶段起重要作用。为了准确地表征这些运动及其对错误折叠和病毒疾病传播性的潜在影响,我们对分子动力学模拟和NMR衍生的各种ion病毒蛋白质的柔性测量结果进行了组合分析。使用最近开发的数字形式论,我们分析了8种不同物种(包括人,牛,麋鹿,猫,仓鼠,鸡,乌龟和青蛙)的病毒蛋白的基本集体动力学(ECD)。我们还将数值结果与由NMR化学位移随机线圈指数(RCI)生成的柔韧性曲线进行了比较。从实验NMR数据和理论计算得出的Prion蛋白骨架柔韧性彼此之间显示出很强的一致性,这表明可以使用数字ECD形式主义来预测观察到的RCI谱。有趣的是,第二个β链(S2)和第二个α螺旋(HB)之间环的柔韧性差异似乎使to病毒蛋白与易患病毒病和耐药的物种区分开来。我们的结果表明,通过ECD方法可预测各种物种S2-HB环的不同柔性水平,这表明ECD可用于鉴定disease病毒蛋白的抗病变体以及of病毒蛋白突变对疾病易感性或错误的倾向。

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