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On the precision of experimentally determined protein folding rates and φ-values

机译:关于实验确定的蛋白质折叠率和φ值的精度

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摘要

φ-Values, a relatively direct probe of transition-state structure, are an important benchmark in both experimental and theoretical studies of protein folding. Recently, however, significant controversy has emerged regarding the reliability with which φ-values can be determined experimentally: Because φ is a ratio of differences between experimental observables it is extremely sensitive to errors in those observations when the differences are small. Here we address this issue directly by performing blind, replicate measurements in three laboratories. By monitoring within- and between-laboratory variability, we have determined the precision with which folding rates and φ-values are measured using generally accepted laboratory practices and under conditions typical of our laboratories. We find that, unless the change in free energy associated with the probing mutation is quite large, the precision of φ-values is relatively poor when determined using rates extrapolated to the absence of denaturant. In contrast, when we employ rates estimated at nonzero denaturant concentrations or assume that the slopes of the chevron arms (mf and mu) are invariant upon mutation, the precision of our estimates of φ is significantly improved. Nevertheless, the reproducibility we thus obtain still compares poorly with the confidence intervals typically reported in the literature. This discrepancy appears to arise due to differences in how precision is calculated, the dependence of precision on the number of data points employed in defining a chevron, and interlaboratory sources of variability that may have been largely ignored in the prior literature.
机译:φ值是过渡态结构的相对直接探针,是蛋白质折叠实验和理论研究的重要基准。但是,最近,关于可通过实验确定φ值的可靠性出现了重大争议:由于φ是实验可观测值之间的差异之比,因此当差异很小时,对这些观测值中的错误极为敏感。在这里,我们通过在三个实验室中进行盲目重复测量来直接解决此问题。通过监测实验室内和实验室间的变异性,我们确定了使用公认的实验室实践并在我们实验室的典型条件下测量折叠率和φ值的精度。我们发现,除非与探测突变相关的自由能变化很大,否则使用推断为不存在变性剂的比率确定φ值的精度将相对较差。相反,当我们使用在非零变性剂浓度下估算的比率或假设人字形臂(mf和mu)的斜率在突变后不变时,我们估算φ的精度会大大提高。然而,我们由此获得的可再现性与文献中通常报道的置信区间相比仍然差强人意。这种差异似乎是由于计算精度的方式不同,精度对定义人字形所使用的数据点数量的依赖性以及实验室间的可变性来源(在现有文献中可能被忽略)而出现的。

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