GREET

Our goal is to integrate machine learning, synthetic biology and lab automation into a deployable platform for enzyme engineering and manufacturing. We believe that the availability of an effective data-driven engineering platform will overcome current limitations in enzyme engineering by learning design principles directly from known enzyme sequences. Combining computational methods with nanoliter-scale automated experimental platforms and high-yield microbial expression systems will enable designing, building and testing enzymes currently difficult to manufacture, such as those required for the treatment of enzymatic deficiencies. Here we will focus on building the largest library of human alpha-Galactosidase (aGAL) enzymes to identify new potential treatments for Fabry's disease.

Primary location: Edinburgh United Kingdom