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Hinge-shift mechanism as a protein design principle for the evolution of β-lactamases from substrate promiscuity to specificity

Author

Listed:
  • Tushar Modi

    (Arizona State University)

  • Valeria A. Risso

    (Universidad de Granada
    Universidad de Granada)

  • Sergio Martinez-Rodriguez

    (Universidad de Granada
    Universidad de Granada)

  • Jose A. Gavira

    (Universidad de Granada
    Universidad de Granada)

  • Mubark D. Mebrat

    (Arizona State University
    Arizona State University)

  • Wade D. Horn

    (Arizona State University
    Arizona State University)

  • Jose M. Sanchez-Ruiz

    (Universidad de Granada
    Universidad de Granada)

  • S. Banu Ozkan

    (Arizona State University)

Abstract

TEM-1 β-lactamase degrades β-lactam antibiotics with a strong preference for penicillins. Sequence reconstruction studies indicate that it evolved from ancestral enzymes that degraded a variety of β-lactam antibiotics with moderate efficiency. This generalist to specialist conversion involved more than 100 mutational changes, but conserved fold and catalytic residues, suggesting a role for dynamics in enzyme evolution. Here, we develop a conformational dynamics computational approach to rationally mold a protein flexibility profile on the basis of a hinge-shift mechanism. By deliberately weighting and altering the conformational dynamics of a putative Precambrian β-lactamase, we engineer enzyme specificity that mimics the modern TEM-1 β-lactamase with only 21 amino acid replacements. Our conformational dynamics design thus re-enacts the evolutionary process and provides a rational allosteric approach for manipulating function while conserving the enzyme active site.

Suggested Citation

  • Tushar Modi & Valeria A. Risso & Sergio Martinez-Rodriguez & Jose A. Gavira & Mubark D. Mebrat & Wade D. Horn & Jose M. Sanchez-Ruiz & S. Banu Ozkan, 2021. "Hinge-shift mechanism as a protein design principle for the evolution of β-lactamases from substrate promiscuity to specificity," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22089-0
    DOI: 10.1038/s41467-021-22089-0
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    Cited by:

    1. Nicholas J Ose & Brandon M Butler & Avishek Kumar & I Can Kazan & Maxwell Sanderford & Sudhir Kumar & S Banu Ozkan, 2022. "Dynamic coupling of residues within proteins as a mechanistic foundation of many enigmatic pathogenic missense variants," PLOS Computational Biology, Public Library of Science, vol. 18(4), pages 1-22, April.

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