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<p class="MsoNormal"><span lang="EN-US">Dear all, <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">I have a set of 100 “artificial” tomograms, each containing approx 100 copies of a simulated density map of my protein of interest. I would like to fit each tomogram with the PDB of my POI, and save copies for all fits
with a correlation score > 90%. Using the fitmap command in Chimera and then manually selecting the fits that meet the criterium works, but takes quiet a long time for a larger amount of data. I wonder if this could be automated, and if somehow would be able
me to put together a script (is it possible to execute such tasks in a non-gui way, by submitting it to a cluster so that it could be parallelized?).<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Thanks a lot in advance,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Best,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Matthias<o:p></o:p></span></p>
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