(Wyss Institute for Biologically Inspired Engineering at Harvard) Machine learning is helping biologists solve hard problems, including designing effective synthetic biology tools. Two teams from the Wyss Institute and MIT have created a set of algorithms that can effectively predict the efficacy of thousands of RNA-based sensors called toehold switches, allowing the rapid identification and optimization of sequences that can act as biological sensors for medicine and other applications.
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