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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.

Physiologically Relevant

We develop physiologically relevant 2D and 3D models of human diseases in three main tissues:   Liver, Endocrine Pancreas and Skeletal Muscle.

Drug Discovery

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.

Medicinal Chemistry

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.

Drug Development

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.

Latest Publications

Please checkout some of our publications.

Insulin FP Biosensor

Development of a Cell-Based Fluorescence Polarization Biosensor Using Preproinsulin to Identify Compounds That Alter Insulin Granule Dynamics A new tool for studying insulin packaging and dynamics In this paper, we described [...]

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