A distribution-based method to resolve single-molecule Förster resonance energy transfer observations
Issue Date
2011-04-12Author
Backović, Mihailo
Price, E. Shane
Johnson, Carey K.
Ralston, John P.
Publisher
American Institute of Physics
Type
Article
Article Version
Scholarly/refereed, publisher version
Metadata
Show full item recordAbstract
We introduce a new approach to analyze single-molecule Förster resonance energy transfer (FRET) data. The method recognizes that FRET efficiencies assumed by traditional ensemble methods are unobservable for single molecules. We propose instead a method to predict distributions of FRET parameters obtained directly from the data. Distributions of FRET rates, given the data, are precisely defined using Bayesian methods and increase the information derived from the data. Benchmark comparisons find that the response time of the new method outperforms traditional methods of averaging. Our approach makes no assumption about the number or distribution of underlying FRET states. The new method also yields information about joint parameter distributions going beyond the standard framework of FRET analysis. For example, the running distribution of FRET means contains more information than any conceivable single measure of FRET efficiency. The method is tested against simulated data and then applied to a pilot-study sample of calmodulin molecules immobilized in lipidvesicles, revealing evidence for multiple dynamical states.
Description
This is the publisher's version, also available electronically from http://scitation.aip.org/content/aip/journal/jcp/134/14/10.1063/1.3568946.
ISSN
0021-9606Collections
Citation
Backović, Mihailo; Price, E. Shane; Johnson, Carey K.; Ralston, John P. (2011). "A distribution-based method to resolve single-molecule Förster resonance energy transfer observations." Journal of Chemical Physics, 134:145414. http://dx.doi.org/10.1063/1.3568946
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