how we do it
We Solve Fundamental Challenges in Natural Product Drug Discovery with Advanced Technologies
Integrates multiple data streams to nominate high-confidence therapeutic hypotheses, target candidates, and mechanisms of action.
Rapidly executes “cloud-scale” dereplication to identify novel scaffolds for actionable lead identification.
Bioactive Lead Identification
Deconvolutes bioactive lead molecules 100X faster than traditional methods and nominates high-value SAR directions.
Networking for Molecular Annotations & Discovery.
Re-discovery of known natural products from complex mixtures stymied natural product research. NOMAD continuously analyzes metabolomics data from our growing library across 1000s of plants against all known natural products to “dereplicate” known plant compounds and annotate novel chemistry from BIOEDGE nominated plants for downstream efforts.
We are building the largest integrated dataset of plant chemistry in the world, tailor-made for drug discovery. With metabolomics analyses of thousands of medicinally important plants linked to internally generated bioactivity measurements using cutting-edge algorithms, we’re uniquely positioned to scale the discovery of first-in-class small molecules for complex diseases. With every experiment, we learn something about both our unique library and disease biology that we reintroduce into our dataset to fine-tune our algorithms.
With every experiment, our dataset grows, and our platform gets smarter.