A Technology Focused Approach – Single Cell Analysis
Our main technological expertise is in developing robust physiologically relevant models of human diseases, using human cells and tissues as the platform for drug discovery. We typically interrogate these cellular disease models using chemical probes with high-content imaging/high-throughput biological imaging. Machine vision, multivariate stats and deep learning are then used to extract meaningful biological information from these systems.
Physiologically Relevant – Drug discovery using physiologically relevant models derived from patient-derived cells/tissues
Translational Medicine – Discovery of potential drugs with human therapeutic potential
Deep Learning Informed Research – Cutting edge computational approaches to glean understanding from high resolution biological images.
We develop physiologically relevant 2D and 3D models of human diseases in three main tissues: Liver, Endocrine Pancreas and Skeletal Muscle.
Our main drug discovery technology focus is in automated, high-throughput fluorescence microscopy – High Content Screening and Analysis. This phenotypic drug discovery approach delivers small molecules with high translational potential.
Hits from high throughput and high content screening are only the beginning of the drug development process. We use medicinal chemistry to develop potency and drug-like properties in our lead series.
Preclinical drug development involves testing the absorption, distribution, metabolism, excretion and toxicity (ADME/Tox) of a drug candidate. We routinely perform preclinical development studies, coupled with medicinal chemistry, to deliver orally-bioactive small molecules towards IND submission.