Abstract #1533

Generating MRI reporter genes using a Protein Optimizing Evolving Tool (POET)

Alexander Robert Bricco¹, Illiya Miralavy¹, Shaowei Bo², Or Perlman³, Christian Farrar³, Mike McMahon², Wolfgang Banzhaf¹, and Assaf Gilad¹

¹Michigan State University, East Lansing, MI, United States, ²Johns Hopkins University, Baltimore, MD, United States, ³Harvard Medical School, Boston, MA, United States

Synopsis

Reporter genes for MRI allow for the non-invasive observation and evaluation of gene and cell therapies which are being rapidly developed. Traditional methods of gene optimization failed to improve reporter gene quality. We developed and employed a novel machine learning program called the Protein Optimizing Evolving Tool (POET). Using POET we have discovered peptides which provide more contrast than prior efforts and also display properties that challenge prior knowledge on the functions of these genes.

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