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Biologische Systeme und Medizin Poster: Mi., 14:00–16:30 M-P211<br />

Towards automated BioXAS<br />

Gerd Wellenreuther 1 , Wolfram Meyer-Klaucke 1<br />

1 EMBL Outstation Hamburg, Notkestr. 85, 22603 Hamburg<br />

Automation of XAS data reduction and analysis is essential to cope with high-throughput<br />

data collection becoming available at an increasing number of synchrotron radiation<br />

centers. Recently, a flexible script called Kemp has been developed and introduced<br />

at the XAS beamline at EMBL Hamburg. It automatically processes fluorescence<br />

XAS data. The pipeline includes dead time correction, energy calibration, selection of<br />

fluorescence detector channels as well as the extraction of XANES and EXAFS [1].<br />

In a second step, we introduced an universal algorithm for automated BioXAS data<br />

analysis. Only the EXAFS data and a range of possible coordinations and ligands (e. g.<br />

coordination number ranging from 3-6 and potential ligands being sulfur, nitrogen, oxygen<br />

or histidine) have to be provided. All permutations are fitted to the experimental<br />

data; the individual refinements are performed by DL EXCURV [2]. Models leading<br />

to unreasonable fit parameters are rejected based on a comparison with an internal<br />

database. In the next step, the most favorable structure is identified by the goodnessof-fit<br />

parameter. The results are summarized in a HTML-file containing all structural<br />

models as well as plots of the best fits.<br />

The entire process requires few seconds to minutes using single-scattering approximation<br />

and considerably longer when the multiple scattering algorithm is included.<br />

Initially, the program mainly provides assistance for the scientist analyzing BioXAS<br />

data. This will change once that the algorithm is implemented on a computer cluster<br />

allowing multiple-scattering analyses within minutes and the identification of standard<br />

metal binding motifs. On the long run this might open the door towards an online<br />

structure determination during an experiment.<br />

[1] Korbas, M., Fulla Marsa, D., and Meyer-Klaucke, W., sub<strong>mit</strong>ted<br />

[2] S. Tomic et al, CCLRC Technical Report DL-TR-2005-001, ISSN 1362-0207(2005)

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