Data Science Company for Next Generation Drug Discovery
ALGORITHM
Our algorithm has a high probability to predict compounds that will elicit an intended outcome in cells (or models)
because we use ligands’ biological activities for a specific target, or actual hits of each bioassay.
BEAR
Bioactive compound Enrichment
by Assay Repositioning
The underlying idea, Assay Repositioning, is that if ligands of a given drug-target are significantly similar to active hits of a bioassay, and the bioassay had not been performed for the given drug-target (or related family targets), the bioassay can re-used to predict a new candidate drug. We have devised own algorithm including formulas.
KR 10-1684742, US 10,418,129,
Subsequent patent application No. 10-2021-0010022
BACoN
BioActivtity based Compound Network
We constructed a large-scale compound network according to a degree of similar bioactivity patterns between two different compounds, and given a drug-target and its ligand, the compound with the most similar bioactivity pattern to the ligands would be predicted as a new candidate.
KR 10-1709846
