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首页> 外文期刊>The Journal of Chemical Physics >How accurate are polymer models in the analysis of Forster resonanceenergy transfer experiments on proteins?
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How accurate are polymer models in the analysis of Forster resonanceenergy transfer experiments on proteins?

机译:聚合物模型在蛋白质Forster共振能量转移实验分析中的准确性如何?

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摘要

Single molecule Forster resonance energy transfer (FRET) experiments are used to infer theproperties of the denatured state ensemble (DSE) of proteins. From the measured average FRETefficiency, (E), the distance distribution P(R) is inferred by assuming that the DSE can be describedas a polymer. The single parameter in the appropriate polymer model (Gaussian chain, wormlikechain, or self-avoiding walk) for P(R) is determined by equating the calculated and measured (E).In order to assess the accuracy of this "standard procedure," we consider the generalized Rousemodel (GRM), whose properties [(E) and P(R)] can be analytically computed, and the Molecular Transfer Model for protein L for which accurate simulations can be carried out as a function ofguanadinium hydrochloride (GdmCl) concentration. Using the precisely computed (E) for the GRM and protein L, we infer P(R) using the standard procedure. We find that the mean end-to-enddistance can be accurately inferred (less than 10% relative error) using (E) and polymer models forP(R). However, the value extracted for the radius of gyration (R_g)and the persistence length(1p)areless accurate. For protein L, the errors in the inferred properties increase as the GdmCl concentrationincreases for all polymer models. The relative error in the inferred Rg and 1p, With respect to theexact values, can be as large as 25% at the highest GdmCl concentration. We propose aself-consistency test, requiring measurements of (E) by attaching dyes to different residues in theprotein, to assess the validity of describing DSE using the Gaussian model. Application of theself-consistency test to the GRM shows that even for this simple model, which exhibits an order→disorder transition, the GaussianP(R)is inadequate. Analysis of experimental data FRETefficiencies with dyes at several locations for the cold shock protein, and simulations results forprotein L, for which accurate FRET efficiencies between various locations were computed, showsthat at high GdmCl concentrations there are significant deviations in the DSE P(R) from theGaussian model.
机译:单分子福斯特共振能量转移(FRET)实验被用来推断蛋白质的变性状态集合(DSE)的性质。根据测得的平均FRET效率(E),通过假设DSE可描述为聚合物来推断距离分布P(R)。通过将计算得出的值和测量的值(E)相等,可以确定适当的聚合物模型(高斯链,蠕虫链或自我规避步行)中的单个参数。为了评估此“标准程序”的准确性,我们考虑了可以分析其性质[(E)和P(R)]的广义Rouse模型(GRM),以及可以根据盐酸胍(GdmCl)进行精确模拟的蛋白L分子转移模型。浓度。使用针对GRM和蛋白质L精确计算的(E),我们使用标准程序推断P(R)。我们发现,使用(E)和P(R)的聚合物模型可以准确推断平均端到端距离(相对误差小于10%)。但是,针对回转半径(R_g)和持续长度(1p)提取的值不够准确。对于蛋白质L,对于所有聚合物模型,随着GdmCl浓度的增加,推断特性的误差也会增加。相对于精确值,推断的Rg和1p的相对误差在最高GdmCl浓度下可能高达25%。我们提出了自我一致性测试,要求通过将染料附着到蛋白质的不同残基上来测量(E),以评估使用高斯模型描述DSE的有效性。自一致性测试在GRM上的应用表明,即使对于这个显示有序→无序转换的简单模型,GaussianP(R)也不足够。对冷休克蛋白在多个位置使用染料进行的实验数据FRET效率的分析以及对蛋白质L的模拟结果(计算得出了不同位置之间的准确FRET效率)表明,在高GdmCl浓度下,DSE P(R)与高斯模型。

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