Fragment-based virtual screening with docking and pose scoring

public public 1yr ago Version: v0.1.4 0 bookmarks

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.

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Created: 1yr ago
Updated: 1yr ago
Maitainers: public
URL: https://github.com/iwc-workflows/fragment-based-docking-scoring
Name: fragment-based-docking-scoring-main
Version: v0.1.4
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Copyright: Public Domain
License: MIT License
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