An evolution-based model for designing chorismate mutase enzymes

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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Science (American Association for the Advancement of Science) Ročník 369; číslo 6502; s. 440
Hlavní autoři: Russ, William P, Figliuzzi, Matteo, Stocker, Christian, Barrat-Charlaix, Pierre, Socolich, Michael, Kast, Peter, Hilvert, Donald, Monasson, Remi, Cocco, Simona, Weigt, Martin, Ranganathan, Rama
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 24.07.2020
Témata:
ISSN:1095-9203, 1095-9203
On-line přístup:Zjistit podrobnosti o přístupu
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1095-9203
1095-9203
DOI:10.1126/science.aba3304