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Structure determination of high-energy states in a dynamic protein ensemble

Author

Listed:
  • John B. Stiller

    (Brandeis University)

  • Renee Otten

    (Brandeis University)

  • Daniel Häussinger

    (University of Basel)

  • Pascal S. Rieder

    (University of Basel)

  • Douglas L. Theobald

    (Brandeis University)

  • Dorothee Kern

    (Brandeis University)

Abstract

Macromolecular function frequently requires that proteins change conformation into high-energy states1–4. However, methods for solving the structures of these functionally essential, lowly populated states are lacking. Here we develop a method for high-resolution structure determination of minorly populated states by coupling NMR spectroscopy-derived pseudocontact shifts5 (PCSs) with Carr–Purcell–Meiboom–Gill (CPMG) relaxation dispersion6 (PCS–CPMG). Our approach additionally defines the corresponding kinetics and thermodynamics of high-energy excursions, thereby characterizing the entire free-energy landscape. Using a large set of simulated data for adenylate kinase (Adk), calmodulin and Src kinase, we find that high-energy PCSs accurately determine high-energy structures (with a root mean squared deviation of less than 3.5 angström). Applying our methodology to Adk during catalysis, we find that the high-energy excursion involves surprisingly small openings of the AMP and ATP lids. This previously unresolved high-energy structure solves a longstanding controversy about conformational interconversions that are rate-limiting for catalysis. Primed for either substrate binding or product release, the high-energy structure of Adk suggests a two-step mechanism combining conformational selection to this state, followed by an induced-fit step into a fully closed state for catalysis of the phosphoryl-transfer reaction. Unlike other methods for resolving high-energy states, such as cryo-electron microscopy and X-ray crystallography, our solution PCS–CPMG approach excels in cases involving domain rearrangements of smaller systems (less than 60 kDa) and populations as low as 0.5%, and enables the simultaneous determination of protein structure, kinetics and thermodynamics while proteins perform their function.

Suggested Citation

  • John B. Stiller & Renee Otten & Daniel Häussinger & Pascal S. Rieder & Douglas L. Theobald & Dorothee Kern, 2022. "Structure determination of high-energy states in a dynamic protein ensemble," Nature, Nature, vol. 603(7901), pages 528-535, March.
  • Handle: RePEc:nat:nature:v:603:y:2022:i:7901:d:10.1038_s41586-022-04468-9
    DOI: 10.1038/s41586-022-04468-9
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    Cited by:

    1. Kalyan S. Chakrabarti & Simon Olsson & Supriya Pratihar & Karin Giller & Kerstin Overkamp & Ko On Lee & Vytautas Gapsys & Kyoung-Seok Ryu & Bert L. Groot & Frank Noé & Stefan Becker & Donghan Lee & Th, 2022. "A litmus test for classifying recognition mechanisms of transiently binding proteins," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Ainan Geng & Laura Ganser & Rohit Roy & Honglue Shi & Supriya Pratihar & David A. Case & Hashim M. Al-Hashimi, 2023. "An RNA excited conformational state at atomic resolution," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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