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Open-to-closed transition in apo maltose-binding protein observed by paramagnetic NMR

Author

Listed:
  • Chun Tang

    (Laboratory of Chemical Physics, Building 5, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, USA)

  • Charles D. Schwieters

    (Building 12A, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892-5624, USA)

  • G. Marius Clore

    (Laboratory of Chemical Physics, Building 5, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, USA)

Abstract

It is well known that large-scale rearrangements of domains of a protein can play an important role in ligand binding and recognition, catalysis, and regulation. Though X-ray crystal structures can provide a static picture of the apo (usually open) and holo (usually closed) states of a protein, it is not usually clear whether the apo state exists as a single species where the closed state is energetically inaccessible and interdomain rearrangement is induced by ligand or substrate binding or whether the predominantly open form already co-exists in rapid equilibrium with a minor closed species. In this paper, the authors obtained paramagnetic relaxation enhancement data that indicate that there is a rapidly exchanging mixture of a predominantly open form of the maltose-binding protein and a minor (partially-closed) form of the protein. Ensemble simulated annealing refinement was used to determine an ensemble average structure of the minor apo species and demonstrate that it is distinct from the sugar-bound state.

Suggested Citation

  • Chun Tang & Charles D. Schwieters & G. Marius Clore, 2007. "Open-to-closed transition in apo maltose-binding protein observed by paramagnetic NMR," Nature, Nature, vol. 449(7165), pages 1078-1082, October.
  • Handle: RePEc:nat:nature:v:449:y:2007:i:7165:d:10.1038_nature06232
    DOI: 10.1038/nature06232
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    Citations

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    Cited by:

    1. Daniel-Adriano Silva & Gregory R Bowman & Alejandro Sosa-Peinado & Xuhui Huang, 2011. "A Role for Both Conformational Selection and Induced Fit in Ligand Binding by the LAO Protein," PLOS Computational Biology, Public Library of Science, vol. 7(5), pages 1-11, May.
    2. Brian A Kidd & David Baker & Wendy E Thomas, 2009. "Computation of Conformational Coupling in Allosteric Proteins," PLOS Computational Biology, Public Library of Science, vol. 5(8), pages 1-10, August.
    3. Dong Long & Rafael Brüschweiler, 2011. "In Silico Elucidation of the Recognition Dynamics of Ubiquitin," PLOS Computational Biology, Public Library of Science, vol. 7(4), pages 1-9, April.
    4. Martin F. Peter & Christian Gebhardt & Rebecca Mächtel & Gabriel G. Moya Muñoz & Janin Glaenzer & Alessandra Narducci & Gavin H. Thomas & Thorben Cordes & Gregor Hagelueken, 2022. "Cross-validation of distance measurements in proteins by PELDOR/DEER and single-molecule FRET," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    5. Chao Kong & Xiaozhan Qu & Mingming Liu & Weiya Xu & Da Chen & Yanshen Zhang & Shan Zhang & Feng Zhu & Zhenbang Liu & Jianchao Li & Chengdong Huang & Chao Wang, 2023. "Dynamic interactions between E-cadherin and Ankyrin-G mediate epithelial cell polarity maintenance," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    6. Kai Wang & Shiyang Long & Pu Tian, 2015. "Hierarchical Conformational Analysis of Native Lysozyme Based on Sub-Millisecond Molecular Dynamics Simulations," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-17, June.
    7. Fabian Paul & Thomas R Weikl, 2016. "How to Distinguish Conformational Selection and Induced Fit Based on Chemical Relaxation Rates," PLOS Computational Biology, Public Library of Science, vol. 12(9), pages 1-17, September.
    8. Shuo Gu & Daniel-Adriano Silva & Luming Meng & Alexander Yue & Xuhui Huang, 2014. "Quantitatively Characterizing the Ligand Binding Mechanisms of Choline Binding Protein Using Markov State Model Analysis," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-11, August.

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