Excited to announce that our paper is just published in Cell Systems, showing how machine-learning models paired with ultra-high-throughput microfluidic screening can accelerate protein engineering. 

Huge thanks to the fantastic teams at Triplebar, X, The Moonshot Factory and Google DeepMind.

Engineering highly active nuclease enzymes with machine learning and high-throughput screening Thomas et al. introduce TeleProt, a framework for guiding protein library design with machine learning, and validate it in an enzyme engineering campaign to optimize the endonuclease NucB. Across 4 ro...

So proud to see our work on machine learning + enzyme design just published! www.cell.com/cell-systems...

Fun collaboration between Google X, DeepMind, and Triplebar that we hope can be a template for integrating ML and high throughput screening in protein engineering