Difference between revisions of "L498 Thermolysin"

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(Created page with "In this tutorial, we assume that we are handed an SFX dataset containing thermolysin diffraction, but are not told anything else. We will have to go through all the data runs...")
 
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In this tutorial, we assume that we are handed an SFX dataset containing thermolysin diffraction, but are not told anything else.  We will have to go through all the data runs, figure out which one is to be used for dark subtraction, correct for untrusted pixels and detector metrology.  At this point, we will be prepared to integrate and merge the data.  Finally, we will perform simple molecular replacement and ask whether there is any Zn signal in the anomalous difference Fourier.  
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In this tutorial, we assume that we are handed an SFX dataset containing thermolysin diffraction, but are not told anything else.  We will have to go through all the data runs, figure out which one is to be used for dark subtraction, and account for untrusted pixels and detector metrology.  At this point, we will be prepared to integrate and merge the data.  Finally, we will perform simple molecular replacement and ask whether there is any Zn signal in the anomalous difference Fourier.  
  
 
=Discovery of data collection parameters=
 
=Discovery of data collection parameters=

Revision as of 22:01, 18 August 2014

In this tutorial, we assume that we are handed an SFX dataset containing thermolysin diffraction, but are not told anything else. We will have to go through all the data runs, figure out which one is to be used for dark subtraction, and account for untrusted pixels and detector metrology. At this point, we will be prepared to integrate and merge the data. Finally, we will perform simple molecular replacement and ask whether there is any Zn signal in the anomalous difference Fourier.

Discovery of data collection parameters

Prepare to mask out the untrusted pixels

Correct the detector metrology

Integrate the data

Merge the data

Solve the structure