Research

Our lab centers on the engineering of novel protein signaling networks that function in vitro and can be applied for the development of technologies for disease detection and therapeutics, expanding access to healthcare in under-served populations.

We are confident that protein signaling networks will enable ultrafast, ultrasensitive diagnostic tests that can be deployed at the point-of-care. Our goal is to develop novel diagnostic tests using designed protein signaling networks.

We have 3 major research focus areas:

Synthetic in vitro protein signaling network design
Using a split enzyme sensor as the backbone for our first sensing assay, we are designing the first even biological bistable switch that can be implemented in vitro. Our long-term goal is to create a toolbox of protein signaling motifs with known input and output behaviors to rationally design novel protein signaling networks with a wide range of robust input/output functions.

Healthcare technology development and deployment
Translating a lab-based assay with protein signaling networks into diagnostic tests that can be deployed in healthcare settings is no small task. This area of our lab focuses on creating and incorporating novel binders to target protein, small molecule, and nucleic acid biomarkers of design and engineering varied signal outputs for protein signaling network assays to enable a wide array of diagnostic test formats. We also investigate methods of protein stabilization for long-term storage and the creation of point-of-care readers. Our long-term goal is the clinical translation of diagnostic devices incorporating protein signaling networks into the hands of patients and healthcare providers.

in vitro characterization of protein networks
The characterization of engineered proteins in isolation and within in vitro protein signaling networks enables more precise control of protein signaling network environment, which allows us to better interrogate how structural changes in engineered proteins alter protein function. We believe this will allow for better quantitative prediction of protein biophysics in engineered proteins.

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