Setting Up a Virtual Screen with AutoDock
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		Setting Up a Virtual Screen with AutoDock
- Install MGLTools and AutoDock, download raccoon.py
 - Navigate to the MGLTools directory
- "cd /Library/MGLTools/1.5.6/bin"
 
 - Open raccoon.py with pythonsh in the MGLTools directory
- "./pythonsh ~/Downloads/raccoon.py"
 
 - Add your pdb file
 - Add the directory with the ligand structure files (mol2 or pdbqt format)
- The mol2 files will be converted to pdbqt at this point.
 
 - 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.
 - 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.
 - Set output directory
 - All the scripts and files necessary will be created. Execute the following in your terminal:
- "./RunVS.sh"
 
 - Alternatively, edit and use RunVS.py to use multiprocessing on your computer.
 - In the resulting .dlg file, the ligand with the lowest energy is the “best” binder.
 - summary.py can be used to quickly sort the ligands if RunVS.py was used.
 - Open AutoDock, import the .dlg and open the protein pdb(qt)
 - Export the docked complex to a single pdbqt
 - The pdbqt can be opened in Chimera as a pdb