Enhance Small Molecule Therapeutics Design with Best-in-Class Tools

The binding interactions of proteins and ligands arise from a variety of steric and electrochemical factors. Understanding these interactions can help researchers more rapidly identify promising new therapeutic candidates. Pharmacophores map these features in 3D space, providing a simple means to screen libraries of compounds virtually, characterize the binding of existing leads and optimize their performance.

BIOVIA Discovery Studio utilizes the CATALYST Pharmacophore Modeling and Analysis toolset to assist in the assessment of small molecule therapeutics with or without target-structured data. It supports de novo drug design, multi-target drug design and activity profiling to drive small molecule R&D.


  • Automatically generate pharmacophores from the data available
    • Sets of active ligands
    • Receptor binding sites
    • Receptor-ligand complexes
  • Perform rigorous Pharmacophore validation based on sets of control compounds with known activity.
  • Hypotheses can include
    • Geometric, feature-based queries
    • Shape-similarity
    • “Forbidden” space
  • Go beyond the limitations of classical pharmacophore elucidation algorithms by exploring Ensemble Pharmacophores for very large/diverse compound sets with a risk of multiple modes of action

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