Estimation of protein dynamic states with single molecule fluorescence data analysis at microsecond scale

被引：1

作者：

Liu, Kan ^{[1
]}

Liu, Zhu ^{[1
,2
]}

Peng, Yi ^{[3
]}

Ding, Yiming ^{[1
]}

Tang, Chun ^{[1
]}

机构：

[1] Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Hubei Province, Peoples R China

[2] Zhejiang Univ, Sch Med, Hangzhou 310028, Zhejiang, Peoples R China

[3] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Hubei Province, Peoples R China

来源：

OPTICS AND PHOTONICS FOR INFORMATION PROCESSING X | 2016年 / 9970卷

关键词：

single-molecule fluorescence resonance energy transfer; Akaike information criterion; maximum likelihood method; data analysis; non-stationarity measure; ENERGY-TRANSFER;

D O I：

10.1117/12.2237125

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

When timescale of the molecule kinetics faster than the bin time of millisecond order, the commercial single molecule fluorescence resonance energy transfer (smFRET) data analysis tools may not clearly separate different states. We proposed a novel method to obtain the analysis result from smFRET raw data in microsecond scale. We introduced Akaike information criterion and non-stationarity measure in the fitting procedure to give an objective estimate about the number of states and populations. The results were used as initial values to make parameter estimation about equilibrium populations and transition rates from the photon trajectories based on an iterative optimizing procedure.

引用

页数：7

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