4.8 Article

Metal-responsive regulation of enzyme catalysis using genetically encoded chemical switches

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NATURE COMMUNICATIONS
卷 13, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-022-29239-y

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  1. U.S. Army Research Laboratory
  2. U.S. Army Research Office [W911NF-18-1-0034, W911NF-15-1-0334, W911NF-18-1-0181, W911NF-18-1-0200]
  3. David and Lucile Packard Foundation
  4. Camille Dreyfus Teacher-Scholar Program
  5. Graduate Training Program in Quantitative and Chemical Biology at Indiana University [T32 GM131994]
  6. Chemistry of Life Processes Institute - National Institute of General Medical Sciences of the National Institutes of Health [T32 GM105538]
  7. Department of Defense National Defense Science and Engineering Graduate Fellowship Program [NDSEG-36373]

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This study developed an integrated computational and experimental workflow to incorporate metal-responsive chemical switches into proteins for dynamic control over protein function. By using computational analysis and molecular dynamics simulations to guide the placement of the chemical switches, the experimental workload was significantly reduced. The strategy yielded enzymes with a strong dynamic range in response to metal salts, demonstrating its potential.
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.

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