Regensburg 2010 – scientific programme

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BP: Fachverband Biologische Physik

BP 6: Posters: DNA and DNA Enzymes

BP 6.11: Poster

Monday, March 22, 2010, 17:15–20:00, Poster B1

Bayesian inference based evaluation of DNA hairpin dynamics — •Wolfgang Kügel, Adam Muschielok, and Jens Michaelis — Ludwig-Maximilians-Universität, Munich, Germany

Fluorescence-correlation-spectroscopy (FCS) combined with FRET is a powerful tool to analyze dynamics in biological systems. In comparison to other approaches this technique is not limited to a narrow range of rates and can detect dynamics from the ns to s time-scale. However, the key problem is to extract the rates hidden in the correlation curve by fitting a set of parameters. Several different fitting approaches have been described in recent years but the extraction of relevant information is still limited by the fact that the set of starting values chosen predefines the result. This happens as reasonably different sets of parameters result in fitting curves that describe the data equally well. To evaluate and weigh all possible fit results for our data we have used a Bayesian inference approach and globally evaluated all information available. A first application of this approach is shown based on a representative selection of different FRET pairs bound to a hairpin DNA. We discuss how dye selection can influence the rates of hairpin opening and closing.