AI-ACCELERATED DRUG DISCOVERY
Stabilizing protein-protein interface
Designing Molecular glue to stabilize the membrane complex
Background
- A complex of two proteins with unknown binding sites.
- A binding pocket was identified by Receptor.AI at the protein-protein interface using a proprietary AI model for the binding site identification.
- Two low-quality ligands are known with only mediocre binding affinity.
- The goal is to design “molecular glue” to stabilize the membrane complex of 2 proteins associated with autophagy and neurodegeneration.
Methodology
- Enamine stock collection of 3.2M compounds was subject to virtual screening.
- 1000 top-ranked candidate compounds were selected.
- 387 compounds were used for experimental validation.
Results
- The experimental validation was conducted on the HEK 293 cell line to assess modulation of target protein expression.
- Protein expression level was assessed by the Western blot. The hit criteria for the screening was set as a 120% increase in target protein concentration against the control, which resulted in the identification of seven hits.
- The activity of all seven identified hit compounds, along with the absence of cytotoxicity, was substantiated through dose-response analysis.
- Four active scaffolds were chosen for future series expansion, specifically the scaffolds of compound 1, 3, 4 and the shared scaffolds of compounds 2, 5-7.
- The most promising hit compound 2 exhibited a nearly sub-micromolar EC50 in a cellular functional assay with a 400% higher potency compared to the best existing rivals.
The binding pose for the Compound 2 mentioned above
Western blot, Compound 2, HEK 293 cell line, 24h after treatment
Target protein concentration increase: assay Round 1, 50 uM
Dose-Response relationship for Compound 2. Treatment time 24 and 48 hours