Literature DB >> 15864299

Direct measurement of protein energy landscape roughness.

Reinat Nevo1, Vlad Brumfeld, Ruti Kapon, Peter Hinterdorfer, Ziv Reich.   

Abstract

The energy landscape of proteins is thought to have an intricate, corrugated structure. Such roughness should have important consequences on the folding and binding kinetics of proteins, as well as on their equilibrium fluctuations. So far, no direct measurement of protein energy landscape roughness has been made. Here, we combined a recent theory with single-molecule dynamic force spectroscopy experiments to extract the overall energy scale of roughness epsilon for a complex consisting of the small GTPase Ran and the nuclear transport receptor importin-beta. The results gave epsilon > 5k(B)T, indicating a bumpy energy surface, which is consistent with the ability of importin-beta to accommodate multiple conformations and to interact with different, structurally distinct ligands.

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Year:  2005        PMID: 15864299      PMCID: PMC1299309          DOI: 10.1038/sj.embor.7400403

Source DB:  PubMed          Journal:  EMBO Rep        ISSN: 1469-221X            Impact factor:   8.807


  32 in total

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Journal:  Annu Rev Cell Dev Biol       Date:  1999       Impact factor: 13.827

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Journal:  FEBS Lett       Date:  2000-11-10       Impact factor: 4.124

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Authors:  Murray Stewart
Journal:  Science       Date:  2003-11-28       Impact factor: 47.728

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Journal:  J Biol Chem       Date:  2003-10-15       Impact factor: 5.157

5.  Direct discrimination between models of protein activation by single-molecule force measurements.

Authors:  Reinat Nevo; Vlad Brumfeld; Michael Elbaum; Peter Hinterdorfer; Ziv Reich
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

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Authors:  R Zwanzig
Journal:  Proc Natl Acad Sci U S A       Date:  1988-04       Impact factor: 11.205

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Journal:  J Mol Biol       Date:  2000-09-08       Impact factor: 5.469

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Journal:  Proc Natl Acad Sci U S A       Date:  1987-11       Impact factor: 11.205

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  21 in total

1.  Effects of pH on proteins: predictions for ensemble and single-molecule pulling experiments.

Authors:  Edward P O'Brien; Bernard R Brooks; D Thirumalai
Journal:  J Am Chem Soc       Date:  2011-12-27       Impact factor: 15.419

2.  Compaction and tensile forces determine the accuracy of folding landscape parameters from single molecule pulling experiments.

Authors:  Greg Morrison; Changbong Hyeon; Michael Hinczewski; D Thirumalai
Journal:  Phys Rev Lett       Date:  2011-03-29       Impact factor: 9.161

3.  Energy landscape investigation by wavelet transform analysis of atomic force spectroscopy data in a biorecognition experiment.

Authors:  Anna Rita Bizzarri
Journal:  J Biol Phys       Date:  2015-08-14       Impact factor: 1.365

4.  Role of unfolded state heterogeneity and en-route ruggedness in protein folding kinetics.

Authors:  Paul A Ellison; Silvia Cavagnero
Journal:  Protein Sci       Date:  2006-03       Impact factor: 6.725

5.  Probing Interactions within the synaptic DNA-SfiI complex by AFM force spectroscopy.

Authors:  Alexey V Krasnoslobodtsev; Luda S Shlyakhtenko; Yuri L Lyubchenko
Journal:  J Mol Biol       Date:  2006-10-17       Impact factor: 5.469

6.  Entropy and barrier-controlled fluctuations determine conformational viscoelasticity of single biomolecules.

Authors:  Bhavin S Khatri; Masaru Kawakami; Katherine Byrne; D Alastair Smith; Tom C B McLeish
Journal:  Biophys J       Date:  2006-12-08       Impact factor: 4.033

7.  Mapping the energy landscape of biomolecules using single molecule force correlation spectroscopy: theory and applications.

Authors:  V Barsegov; D K Klimov; D Thirumalai
Journal:  Biophys J       Date:  2006-03-13       Impact factor: 4.033

8.  Forced-unfolding and force-quench refolding of RNA hairpins.

Authors:  Changbong Hyeon; D Thirumalai
Journal:  Biophys J       Date:  2006-02-10       Impact factor: 4.033

9.  A Second Look at Canonical Sampling of Biomolecules using Replica Exchange Simulation.

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Journal:  J Chem Theory Comput       Date:  2006       Impact factor: 6.006

10.  The ruggedness of protein-protein energy landscape and the cutoff for 1/r(n) potentials.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

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