An evolution-based model for designing chorismate mutase enzymes

Archive ouverte

Russ, William | Figliuzzi, Matteo | Stocker, Christian | Barrat-Charlaix, Pierre | Socolich, Michael | Kast, Peter | Hilvert, Donald | Monasson, Remi | Cocco, Simona | Weigt, Martin | Ranganathan, Rama

Edité par CCSD ; American Association for the Advancement of Science (AAAS) -

International audience. The rational design of enzymes is an important goal for both fundamental and practical reasons. Here, we describe a process to learn the constraints for specifying proteins purely from evolutionary sequence data, design and build libraries of synthetic genes, and test them for activity in vivo using a quantitative complementation assay. For chorismate mutase, a key enzyme in the biosynthesis of aromatic amino acids, we demonstrate the design of natural-like catalytic function with substantial sequence diversity. Further optimization focuses the generative model toward function in a specific genomic context. The data show that sequence-based statistical models suffice to specify proteins and provide access to an enormous space of functional sequences. This result provides a foundation for a general process for evolution-based design of artificial proteins.

Consulter en ligne

Suggestions

Du même auteur

An evolution-based model for designing chorismate mutase enzymes

Archive ouverte | Russ, William, P | CCSD

International audience

Improving landscape inference by integrating heterogeneous data in the inverse Ising problem

Archive ouverte | Barrat-Charlaix, Pierre | CCSD

International audience. The inverse Ising problem and its generalizations to Potts and continuous spin models have recently attracted much attention thanks to their successful applications in the statistical modelin...

How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?

Archive ouverte | Figliuzzi, Matteo | CCSD

International audience

Chargement des enrichissements...