Successful targeting of two nuclear proteins
Virtual screening: The stock collection of 3.2M compounds was subject to virtual screening. 1000 top-ranked candidate compounds were selected. 100 compounds were used for experimental validation for both targets.
The two-stage virtual screening workflow implemented in the Receptor.AI drug discovery platform was used.
In the secondary screening stage, molecular docking with AI rescoring, which predicts the activity based on the docking poses, is performed for the molecules shortlisted during the initial screening.
100 best-ranked hit compounds were experimentally validated by our partners. 5 of them have shown high affinity to SIRT1. The compound with the highest affinity was selected for further activity evaluation.
1 compound showed a selective effect on the target protein, following the selection criteria '|ΔTmDAbl SH2, CA, BRD4| > 3*TmD RSDDMSO Abl SH2, CA, BRD4'.
100 best-ranked hit candidates were passed for experimental validation to our partners. 17 of them have shown affinity to BRD4. These compounds are currently subject to in-depth experimental validation.
There are 9 entirely new BRD4 hits, belonging to 8 diverse chemical classes.
This compound has shown outstanding nanomolar activity (IC50 = 90 nM) measured by a functional assay based on the release of the fluorophore probe from acetylated p53-AFC. This makes it de facto a lead compound.
This compound, belonging to the previously unknown class of BRD4 inhibitors, has shown the best activity in experiments (470 nM).