MS-DOCK: A Tool for Efficient Virtual Ligand Screening
Author Information
Author(s): Sauton Nicolas, Lagorce David, Villoutreix Bruno O, Miteva Maria A
Primary Institution: INSERM, U648, University Paris Descartes
Hypothesis
Can MS-DOCK effectively reduce the size of compound libraries while retaining active molecules for virtual ligand screening?
Conclusion
MS-DOCK can significantly shorten computation times by generating multi-conformer libraries and performing shape-based filtering.
Supporting Evidence
- MS-DOCK was able to retrieve 65 known inhibitors from a library of 37970 drug-like compounds.
- The method can reduce the initial compound collection by 2- to 3-fold.
- MS-DOCK showed better performance than FRED in retrieving actives for the validation set.
Takeaway
MS-DOCK is like a smart filter that helps scientists quickly find the right molecules to test for new medicines by only keeping the best-fitting ones.
Methodology
MS-DOCK uses a two-step process: generating multiple conformers for input ligands and then performing rigid docking to filter compounds based on shape complementarity.
Limitations
The performance of MS-DOCK may vary depending on the nature of the receptor binding sites and the size of the ligands.
Digital Object Identifier (DOI)
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