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	<title>Setting Up a Virtual Screen with AutoDock - Revision history</title>
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	<updated>2026-05-05T02:28:30Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://bionmr.unl.edu/mediawiki/mediawiki/index.php?title=Setting_Up_a_Virtual_Screen_with_AutoDock&amp;diff=619&amp;oldid=prev</id>
		<title>Jcatazaro: Created page with &quot;Setting Up a Virtual Screen with AutoDock   #	Install MGLTools and AutoDock, download raccoon.py #	Navigate to the MGLTools directory ## &quot;cd /Library/MGLTools/1.5.6/bin&quot; #	Ope...&quot;</title>
		<link rel="alternate" type="text/html" href="https://bionmr.unl.edu/mediawiki/mediawiki/index.php?title=Setting_Up_a_Virtual_Screen_with_AutoDock&amp;diff=619&amp;oldid=prev"/>
		<updated>2017-03-14T21:23:00Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;Setting Up a Virtual Screen with AutoDock   #	Install MGLTools and AutoDock, download raccoon.py #	Navigate to the MGLTools directory ## &amp;quot;cd /Library/MGLTools/1.5.6/bin&amp;quot; #	Ope...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Setting Up a Virtual Screen with AutoDock&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
#	Install MGLTools and AutoDock, download raccoon.py&lt;br /&gt;
#	Navigate to the MGLTools directory&lt;br /&gt;
## &amp;quot;cd /Library/MGLTools/1.5.6/bin&amp;quot;&lt;br /&gt;
#	Open raccoon.py with pythonsh in the MGLTools directory&lt;br /&gt;
## &amp;quot;./pythonsh ~/Downloads/raccoon.py&amp;quot;&lt;br /&gt;
#	Add your pdb file&lt;br /&gt;
#	Add the directory with the ligand structure files (mol2 or pdbqt format)&lt;br /&gt;
##The mol2 files will be converted to pdbqt at this point.&lt;br /&gt;
#	Keep all default parameters for a general screen. For a more robust screen on a small set of ligands change the number of genetic algorithm iterations to be greater than 10. &lt;br /&gt;
#	Add your grid parameter file. This can be generated by opening the AutoDockTools graphical interface and creating a box around your binding site entire protein.&lt;br /&gt;
#	Set output directory&lt;br /&gt;
#	All the scripts and files necessary will be created. Execute the following in your terminal:&lt;br /&gt;
## &amp;quot;./RunVS.sh&amp;quot;&lt;br /&gt;
#	Alternatively, edit and use RunVS.py to use multiprocessing on your computer.&lt;br /&gt;
#	 In the resulting .dlg file, the ligand with the lowest energy is the “best” binder.&lt;br /&gt;
#	 summary.py can be used to quickly sort the ligands if RunVS.py was used.&lt;br /&gt;
#	Open AutoDock, import the .dlg and open the protein pdb(qt)&lt;br /&gt;
#	Export the docked complex to a single pdbqt&lt;br /&gt;
#	The pdbqt can be opened in Chimera as a pdb&lt;/div&gt;</summary>
		<author><name>Jcatazaro</name></author>
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