Staphylococcus aureus Sortase A Inhibitors Library

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SortaseA_20763.sdf SrtA.pdf
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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.
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