Abstract

Dynamic control over protein function is a central challenge in synthetic biology. To address this challenge, we describe the development of an integrated computational and experimental workflow to incorporate a metal-responsive chemical switch into proteins. Pairs of bipyridinylalanine (BpyAla) residues are genetically encoded into two structurally distinct enzymes, a serine protease and firefly luciferase, so that metal coordination biases the conformations of these enzymes, leading to reversible control of activity. Computational analysis and molecular dynamics simulations are used to rationally guide BpyAla placement, significantly reducing experimental workload, and cell-free protein synthesis coupled with high-throughput experimentation enable rapid prototyping of variants. Ultimately, this strategy yields enzymes with a robust 20-fold dynamic range in response to divalent metal salts over 24 on/off switches, demonstrating the potential of this approach. We envision that this strategy of genetically encoding chemical switches into enzymes will complement other protein engineering and synthetic biology efforts, enabling new opportunities for applications where precise regulation of protein function is critical.

Dynamic control over protein function is a central challenge in synthetic biology. Here the authors present an integrated computational and experimental workflow for engineering reversible protein switches; metal-chelating unnatural amino acids genetically encoded into two conformationally dynamic enzymes to yield robust switches.

Details

Title
Metal-responsive regulation of enzyme catalysis using genetically encoded chemical switches
Author
Zubi, Yasmine S 1   VIAFID ORCID Logo  ; Seki Kosuke 2 ; Li, Ying 3   VIAFID ORCID Logo  ; Hunt, Andrew C 2   VIAFID ORCID Logo  ; Liu, Bingqing 1 ; Roux Benoît 3   VIAFID ORCID Logo  ; Jewett, Michael C 2   VIAFID ORCID Logo  ; Lewis, Jared C 1   VIAFID ORCID Logo 

 Indiana University, Bloomington, Department of Chemistry, Indiana, USA (GRID:grid.411377.7) (ISNI:0000 0001 0790 959X) 
 Northwestern University, Department of Chemical and Biological Engineering and Center for Synthetic Biology, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507) 
 University of Chicago, Department of Biochemistry and Molecular Biology, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2647457079
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.