Laboratory of Physics of Living Matter, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Biophys J. 2011 Sep 21;101(6):1504-12. doi: 10.1016/j.bpj.2011.07.047. Epub 2011 Sep 20.
We introduce and discuss a novel approach called back-calculation for analyzing force spectroscopy experiments on multimodular proteins. The relationship between the histograms of the unfolding forces for different peaks, corresponding to a different number of not-yet-unfolded protein modules, is exploited in such a manner that the sole distribution of the forces for one unfolding peak can be used to predict the unfolding forces for other peaks. The scheme is based on a bootstrap prediction method and does not rely on any specific kinetic model for multimodular unfolding. It is tested and validated in both theoretical/computational contexts (based on stochastic simulations) and atomic force microscopy experiments on (GB1)(8) multimodular protein constructs. The prediction accuracy is so high that the predicted average unfolding forces corresponding to each peak for the GB1 construct are within only 5 pN of the averaged directly-measured values. Experimental data are also used to illustrate how the limitations of standard kinetic models can be aptly circumvented by the proposed approach.
我们介绍并讨论了一种新的方法,称为回溯分析,用于分析多模块蛋白质的力谱实验。这种方法利用了不同峰(对应于不同数量尚未展开的蛋白质模块)的展开力直方图之间的关系,使得仅一个展开峰的力分布即可用于预测其他峰的展开力。该方案基于自举预测方法,不依赖于多模块展开的任何特定动力学模型。它在理论/计算(基于随机模拟)和原子力显微镜实验(基于(GB1)(8)多模块蛋白质结构)中都进行了测试和验证。预测精度非常高,以至于对于 GB1 结构,每个峰的预测平均展开力与平均直接测量值仅相差 5 pN。实验数据还用于说明如何通过所提出的方法巧妙地规避标准动力学模型的局限性。