MIT researchers developed a new computational technique to engineer optimized proteins using less data. By training a model on GFP sequences, they created a 3D “fitness landscape,” enabling prediction of mutations leading to better proteins. The technique aims to improve tools for neuroscience research and measure neuron activity without electrodes. The study will be presented in May.










