Fragment-based virtual screening using rDock for docking and SuCOS for pose scoring
Virtual screening of the SARS-CoV-2 main protease with rDock and pose scoring
- Author(s):
- Release: 0.1.5
- License: MIT
- UniqueID: bb767af6-3641-4a5e-843d-78508fd7577a
Fragment-based virtual screening with docking and pose scoring
Dock a compound library against a target protein with rDock and validate the poses generated against a reference fragment using SuCOS to compare the feature overlap. Poses are filtered by a user-specified SuCOS threshold.
A list of fragments should be specified which will be used to define the cavity for docking, using the 'Frankenstein ligand' technique. For more details, please see https://www.informaticsmatters.com/blog/2018/11/23/cavities-and-frankenstein-molecules.html
Compounds are split into collections and then recombined to allow the workflow to be run in a highly parallelized fashion. To specify the level of parallelization, use the 'Collection size' parameter.