Biology generates massive experimental data.
Traditional drug discovery ignores it. We don’t.
BRAF-Mutant Melanoma Case Study
From a library of 2 million molecules, our platform predicted 1806 compounds with potential activity in BRAF-mutant melanoma. Among the top-ranked compounds, 10 compounds were novel and showed the strongest predicted melanoma-selective responses.
We tested five of these candidates at 50 nM using 48-hour live-cell imaging.
Four produced clear, selective killing of melanoma cells, with minimal effects in control lines – matching the model’s predicted phenotypic differences.
This workflow reduced the typical discovery process to:
5 experiments instead of thousands
4 validated hits from the top novel candidates
3 days instead of months of screening