Literature DB >> 11457013

Simulated and NMR-derived backbone dynamics of a protein with significant flexibility: a comparison of spectral densities for the betaARK1 PH domain.

S Pfeiffer1, D Fushman, D Cowburn.   

Abstract

A 7.6 ns molecular dynamics trajectory of the betaARK1 PH domain in explicit water with appropriate ions was calculated at 300 K. Spectral densities at omega = 0, omega(N), and 0.87omega(H) and the model-free parameters were evaluated from the experimental as well as the simulated data, taking the anisotropic overall motion of the protein into account. Experimental and simulated spectral densities are in reasonable general agreement for NH bond vectors, where the corresponding motions have converged within the simulation time. A sufficient sampling of the motions for NH bonds within flexible parts of the protein requires a longer simulation time. The simulated spectral densities J(0) and J(omega(N)) are, on average, 4.5% and 16% lower than the experimental data; the corresponding numbers for the core residues are about 6%; the high-frequency spectral densities J(0.87omega(H)) are lower by, on average, 16% (21% for the core). The simulated order parameters, S(2), are also lower, although the overall disagreement between the simulation and experiment is less pronounced: 1% for all residues and 6% for the core. The observed systematic decrease of simulated spectral density and the order parameters compared to the experimental data can be partially attributed to the ultrafast librational motion of the NH bonds with respect to their peptide plane, which was analyzed in detail. This systematic difference is most pronounced for J(0.87omega(H)), which appears to be most sensitive to the slow, subnanosecond time scale of internal motion, whereas J(0) and J(omega(N)) are dominated by the overall rotational tumbling of the protein. Similar discrepancies are observed between the experimentally measured (15)N relaxation parameters (R(1), R(2), NOE) and their values calculated from the simulated spectral densities. The analysis of spectral densities provides additional information regarding the comparison of the simulated and experimental data, not available from the model-free analysis.

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Year:  2001        PMID: 11457013     DOI: 10.1021/ja0031117

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  15 in total

1.  Determining protein dynamics from ¹⁵N relaxation data by using DYNAMICS.

Authors:  David Fushman
Journal:  Methods Mol Biol       Date:  2012

2.  Model-free analysis of protein dynamics: assessment of accuracy and model selection protocols based on molecular dynamics simulation.

Authors:  Jianhan Chen; Charles L Brooks; Peter E Wright
Journal:  J Biomol NMR       Date:  2004-07       Impact factor: 2.835

3.  Escherichia coli adenylate kinase dynamics: comparison of elastic network model modes with mode-coupling (15)N-NMR relaxation data.

Authors:  N Alpay Temiz; Eva Meirovitch; Ivet Bahar
Journal:  Proteins       Date:  2004-11-15

Review 4.  Structural dynamics of bio-macromolecules by NMR: the slowly relaxing local structure approach.

Authors:  Eva Meirovitch; Yury E Shapiro; Antonino Polimeno; Jack H Freed
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2010-05       Impact factor: 9.795

5.  Importance of the CMAP correction to the CHARMM22 protein force field: dynamics of hen lysozyme.

Authors:  Matthias Buck; Sabine Bouguet-Bonnet; Richard W Pastor; Alexander D MacKerell
Journal:  Biophys J       Date:  2005-12-16       Impact factor: 4.033

6.  Reorientational contact-weighted elastic network model for the prediction of protein dynamics: comparison with NMR relaxation.

Authors:  Dengming Ming; Rafael Brüschweiler
Journal:  Biophys J       Date:  2006-02-24       Impact factor: 4.033

7.  Deciphering protein dynamics from NMR data using explicit structure sampling and selection.

Authors:  Yiwen Chen; Sharon L Campbell; Nikolay V Dokholyan
Journal:  Biophys J       Date:  2007-06-08       Impact factor: 4.033

8.  Model-free analysis for large proteins at high magnetic field strengths.

Authors:  Shou-Lin Chang; Andrew P Hinck; Rieko Ishima
Journal:  J Biomol NMR       Date:  2007-06-26       Impact factor: 2.835

9.  Time-averaged order parameter restraints in molecular dynamics simulations.

Authors:  Niels Hansen; Fabian Heller; Nathan Schmid; Wilfred F van Gunsteren
Journal:  J Biomol NMR       Date:  2014-10-14       Impact factor: 2.835

10.  Slide-and-exchange mechanism for rapid and selective transport through the nuclear pore complex.

Authors:  Barak Raveh; Jerome M Karp; Samuel Sparks; Kaushik Dutta; Michael P Rout; Andrej Sali; David Cowburn
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

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