Staphylococcus aureus Sortase A Inhibitors Library
Staphylococcus aureus Sortase A Inhibitors Library
The ChemDiv Staphylococcus aureus Sortase A Inhibitors library is positioned as a robust chemogenomic resource for anti-staphylococcal drug discovery. It targets Sortase A, a validated anti-virulence target featuring intrinsically disordered regions, by leveraging the dynamic nature of the target.
Library Properties
- The library contains a total of 22,127 compounds.
- It features over 20,000 focused compounds.
- It includes over 700 compounds with high predicted ligand efficiency (LE).
- The compounds within the library are MedChem compatible.
Compound Classification
The library is divided into four specific types:
| Type | Description | Compound Count |
|---|---|---|
| Long core | Centers of clusters with the best docking scores. | 7,860 |
| Long similar | Structures that belong to the same clusters as the "Long core". | 12,404 |
| High LE core | Centers of clusters with high ligand efficiency (LE) according to docking. | 744 |
| High LE similar | Structures belonging to the same clusters as the "High LE core". | 1,119 |
Methodology and Preparation Algorithm
- The library is the first practical output of ensemble-based virtual screening that moves beyond single-structure dogma.
- The methodology integrates previous advances, including the generation of 100 conformations via molecular dynamics (MD), the development of ensemble docking for peptidomimetics using MD-derived conformational ensembles, and the incorporation of explicit MD simulations into large-scale virtual screening.
- The library's preparation algorithm begins with ChemDiv stock, applies PAINS filters and ML filtering clustering, performs ensemble molecular docking of cluster centroids using AD-GPU, and concludes with cluster expansion.
Rational Design and Benefits
- The library is rationally designed based on ensemble docking scores and conformational coverage.
- Each compound is prioritized for its favourable binding free energy profile across the dominant SrtA conformers.
- This approach statistically enriches hit rates in biochemical assays.
- The design minimises conformation-dependent false negatives.
- The collection provides a mechanistically sound starting point for experimental validation.
