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Rapid measurement of inhibitor binding kinetics by isothermal titration calorimetry

Author

Listed:
  • Justin M. Di Trani

    (McGill University)

  • Stephane De Cesco

    (McGill University)

  • Rebecca O’Leary

    (McGill University)

  • Jessica Plescia

    (McGill University)

  • Claudia Jorge Nascimento

    (McGill University
    Federal University of the State of Rio de Janeiro)

  • Nicolas Moitessier

    (McGill University)

  • Anthony K. Mittermaier

    (McGill University)

Abstract

Although drug development typically focuses on binding thermodynamics, recent studies suggest that kinetic properties can strongly impact a drug candidate’s efficacy. Robust techniques for measuring inhibitor association and dissociation rates are therefore essential. To address this need, we have developed a pair of complementary isothermal titration calorimetry (ITC) techniques for measuring the kinetics of enzyme inhibition. The advantages of ITC over standard techniques include speed, generality, and versatility; ITC also measures the rate of catalysis directly, making it ideal for quantifying rapid, inhibitor-dependent changes in enzyme activity. We used our methods to study the reversible covalent and non-covalent inhibitors of prolyl oligopeptidase (POP). We extracted kinetics spanning three orders of magnitude, including those too rapid for standard methods, and measured sub-nM binding affinities below the typical ITC limit. These results shed light on the inhibition of POP and demonstrate the general utility of ITC-based enzyme inhibition kinetic measurements.

Suggested Citation

  • Justin M. Di Trani & Stephane De Cesco & Rebecca O’Leary & Jessica Plescia & Claudia Jorge Nascimento & Nicolas Moitessier & Anthony K. Mittermaier, 2018. "Rapid measurement of inhibitor binding kinetics by isothermal titration calorimetry," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03263-3
    DOI: 10.1038/s41467-018-03263-3
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    Cited by:

    1. Lauren Ashley Mayse & Ali Imran & Motahareh Ghahari Larimi & Michael S. Cosgrove & Aaron James Wolfe & Liviu Movileanu, 2022. "Disentangling the recognition complexity of a protein hub using a nanopore," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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