Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Intrinsic motions along an enzymatic reaction trajectory

Katherine A. Henzler-Wildman, Vu Thai, Ming Lei, Maria Ott, Magnus Wolf-Watz, Tim Fenn, Ed Pozharski, Mark A. Wilson, Gregory A. Petsko, Martin Karplus, Christian G. Hübner*, Dorothee Kern

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

The mechanisms by which enzymes achieve extraordinary rate acceleration and specificity have long been of key interest in biochemistry. It is generally recognized that substrate binding coupled to conformational changes of the substrate-enzyme complex aligns the reactive groups in an optimal environment for efficient chemistry. Although chemical mechanisms have been elucidated for many enzymes, the question of how enzymes achieve the catalytically competent state has only recently become approachable by experiment and computation. Here we show crystallographic evidence for conformational substates along the trajectory towards the catalytically competent 'closed' state in the ligand-free form of the enzyme adenylate kinase. Molecular dynamics simulations indicate that these partially closed conformations are sampled in nanoseconds, whereas nuclear magnetic resonance and single-molecule fluorescence resonance energy transfer reveal rare sampling of a fully closed conformation occurring on the microsecond-to-millisecond timescale. Thus, the larger-scale motions in substrate-free adenylate kinase are not random, but preferentially follow the pathways that create the configuration capable of proficient chemistry. Such preferred directionality, encoded in the fold, may contribute to catalysis in many enzymes.

OriginalspracheEnglisch
ZeitschriftNature
Jahrgang450
Ausgabenummer7171
Seiten (von - bis)838-844
Seitenumfang7
ISSN0028-0836
DOIs
PublikationsstatusVeröffentlicht - 06.12.2007

Fördermittel

Acknowledgements We thank V. Orekhov at the Swedish NMR Centre for 800 MHz NMR spectrometer time, L. Kay for providing pulse programs, D. Korzhnev for sharing software for NMR relaxation data analysis and J. Hohlbein for Monte Carlo simulation software. We are grateful to K. O. Stetter for providing DNA isolated from A. aeolicus and the Advanced Biomedical Computing Center for CPU hours. This work was supported by NIH grants to D.K. and K.A.H.-W., a DOE grant to D.K., a fellowship from the American Heart Association to M.L., a Volkswagen Foundation grant to C.G.H. and M.O., and the Studienstiftung des Deutschen Volkes to M.O. The research at Harvard was supported in part by a grant from NIH to M.K.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Fingerprint

Untersuchen Sie die Forschungsthemen von „Intrinsic motions along an enzymatic reaction trajectory“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren