Seamless integration of data layers across preclinical drug discovery
We are creating a map of the world’s chemistry by profiling thousands of complex samples through tandem mass-spectrometry (LC-MS/MS)
We are building generative deep learning models to predict chemical properties and structure directly with high accuracy from MS2 spectra, allowing us to characterize novel chemical space orders of magnitude faster than previously possible.
We have developed proprietary high-throughput screening methods to link each compound to laboratory-tested biological activities, finding not one, but hundreds of active compounds at once.
We have invented methods to obtain organ distribution data in vivo for thousands of compounds at once with high-confidence.
Fueled by the unique challenges of working with mixtures of unknown and highly-diverse compounds, we redesigned the early-stage drug discovery process.
Instead of screening for one kind of activity and then repeating the process, we annotate our entire library across dozens of bioactivity assays and organ distribution experiments. Our platform in action: