C-GEM published a new paper in Nature Communications in collaboration with the Innovative Genomics Institute. Our researchers developed an RNA language model to predict mutations that could lead to improved structural stability. This model was used to predict mutations that could lead to improved thermostability of the E. coli ribosome, a crucial step toward C-GEM’s goal of repurposing the ribosome to perform new chemistry.
This work was done by Kate Shulgina (postdoc, UC Berkeley), Amos Nissley (graduate student, UC Berkeley), Jamie Cate (senior investigator, UC Berkeley), and collaborators.
