Department of Chemistry, University of Kansas, Lawrence, Kansas 66045, United States.
J Phys Chem B. 2012 Apr 5;116(13):4006-15. doi: 10.1021/jp209861u. Epub 2012 Mar 22.
We describe a method for analysis of single-molecule Förster resonance energy transfer (FRET) burst measurements using classic maximum entropy. Classic maximum entropy determines the Bayesian inference for the joint probability describing the total fluorescence photons and the apparent FRET efficiency. The method was tested with simulated data and then with DNA labeled with fluorescent dyes. The most probable joint distribution can be marginalized to obtain both the overall distribution of fluorescence photons and the apparent FRET efficiency distribution. This method proves to be ideal for determining the distance distribution of FRET-labeled biomolecules, and it successfully predicts the shape of the recovered distributions.
我们描述了一种使用经典最大熵分析单分子Förster 共振能量转移(FRET)爆发测量的方法。经典最大熵确定了描述总荧光光子和表观 FRET 效率的联合概率的贝叶斯推断。该方法经过模拟数据测试,然后用荧光染料标记的 DNA 进行了测试。最可能的联合分布可以进行边缘化,以获得荧光光子的总体分布和表观 FRET 效率分布。该方法被证明是确定 FRET 标记生物分子的距离分布的理想方法,并且成功地预测了恢复分布的形状。