AI-ACCELERATED DRUG DISCOVERY

Targeting Challenging Proteins From Integrin Family

Utilizing Receptor.AI’s pocket detection workflow to target the ‘undruggable’ integrin family

AI revolutionizes the drug discovery process

Background

  • Heterodimeric receptors from the integrin family involved in protein-protein interactions (PPIs).
  • Promising for immunological disorders, inflammation, and cancers.
  • No binding sites for small molecules are known.
  • No potent small molecule binders exist.
  • Challenging target, often deemed undruggable by small molecules.

Project workflow:

  • AI-driven MD Simulations: Predicted integrin conformational changes using integrin crystal structures.
  • AI-driven Pocket Extractor: Identified binding pockets within dynamic conformations by our validated proprietary technique.
  • Virtual Screening: Screened approximately 5 million compounds with proprietary AI algorithms to evaluate potential interactions.
  • Secondary ArtiDock Docking: Refined the selection using AI docking.

In Vitro Testing: Conducted ligand displacement assays on top candidates to validate their ability to compete with a known ligand for binding. SPR analysis was used to measure binding kinetics and affinity, providing detailed insights into the strength of the interactions.

Results

  • Improved Hit Rate and Validation: Achieved a 12% hit rate with 97 promising hits out of ~1,200 compounds.
  • Targeted Binding Pockets: Identified 4 pockets including one cryptic pocket and successfully targeted three specific binding pockets—Pocket I (41 hits), Pocket II (40 hits), and Pocket III (16 hits).
  • Potency: The top 32 compounds showed potency within the range of 1–10 μM.

Binding Affinity: SPR analysis confirmed that one of the top compounds has a Kd of 0.35 μM, demonstrating strong binding affinity.