The Waymouth lab has created polymers called Charge-Altering Releasable Transporters (CARTs) that carry genetic material, such as RNA or DNA, into cells. CARTs have been used to develop successful cancer immunotherapies and mRNA vaccines for COVID-19 in mice, applications that each require gene delivery to specific cell types and organs. Varying the chemical structure of CART polymers leads to remarkable variation in the cell types and organs that genetic material is delivered to, but these relationships between chemical structure and biological function are poorly understood. This presentation will describe new machine learning techniques that can elucidate these connections and help design improved CART polymers tailored to the unique needs of cancer therapies, vaccines, and treatments for genetic disease.

Designing improved polymers for gene delivery with convolutional neural networks and non-convex optimization algorithms

ACS Spring 2022

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