Protein function is largely determined by intricate sequence-structure relationships. As exquisite examples of protein function are the diverse enzymatic activities that many proteins perform. While the engineering of naturally-occurring and de novo enzymes has made remarkable progresses, a new class of biocatalysts arose as a promising alternative – the so-called artificial metalloenzymes. This class of biocatalysts catalyse a large collection of catalytic reactions not only in vitro but also in vivo, which opens new dimensions of applications for artificial metalloenzymes.
The aim of this project is to computationally design artificial metalloenzymes' catalytic sites, screen computationally-guided libraries encoding artificial metalloenzymes variants, and to biochemically characterize selected variants.
Correia group @EPFL
Fotiadis group @UniBe
Ward group @UniBas