Harnessing the power of exponential improvements in DNA sequencing, DNA synthesis, and gene editing to empower machine learning.

 

Advancements in machine learning and computation promise a new frontier in biology, but algorithmic exploration of biology is only as good as its data. Charting the data maps that characterize the interaction space between molecules and protein targets is critically important to the future of computational drug discovery. 

Octant is developing a multiplexed cellular platform that measures functional activity of on- and off-target receptors across very large compound libraries. We have also developed a deep scanning mutagenesis technology that enables us to functionally screen compounds across every possible amino acid mutation of a protein target. The complete platform enables high-throughput multiplexed genetically barcoded functional assays across unprecedented molecule/receptor space.

Current screens of cell targets typically measure signal activation through a luminescence marker. This requires a researcher to screen the infinite possible target-to-molecule reactions just one compound against one receptor at a time. Octant’s multiplexed approach uses next-generation sequencing to simultaneously measure the activity of multiple receptors and their various activation pathways from a single well. By linking receptor activity to barcoded reporters, it measures activity against hundreds to thousands of receptor pathways in a single well. This multiplexing enables screening massive compound libraries against comprehensive sets of drug targets at unprecedented scale.