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
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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