Literature DB >> 16211481

Interpreting dynamically-averaged scalar couplings in proteins.

Kresten Lindorff-Larsen1, Robert B Best, Michele Vendruscolo.   

Abstract

The experimental determination of scalar three-bond coupling constants represents a powerful method to probe both the structure and dynamics of proteins. The detailed structural interpretation of such coupling constants is usually based on Karplus relationships, which allow the measured couplings to be related to the torsion angles of the molecules. As the measured couplings are sensitive to thermal fluctuations, the parameters in the Karplus relationships are better derived from ensembles representing the distributions of dihedral angles present in solution, rather than from single conformations. We present a method to derive such parameters that uses ensembles of conformations determined through dynamic-ensemble refinement--a method that provides structural ensembles that simultaneously represent both the structure and the associated dynamics of a protein.

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Year:  2005        PMID: 16211481     DOI: 10.1007/s10858-005-8873-0

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  16 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Insights into the mobility of methyl-bearing side chains in proteins from (3)J(CC) and (3)J(CN) couplings.

Authors:  James J Chou; David A Case; Ad Bax
Journal:  J Am Chem Soc       Date:  2003-07-23       Impact factor: 15.419

3.  NMR characterization of the dynamics of biomacromolecules.

Authors:  Arthur G Palmer
Journal:  Chem Rev       Date:  2004-08       Impact factor: 60.622

4.  Amplitudes of protein backbone dynamics and correlated motions in a small alpha/beta protein: correspondence of dipolar coupling and heteronuclear relaxation measurements.

Authors:  G Marius Clore; Charles D Schwieters
Journal:  Biochemistry       Date:  2004-08-24       Impact factor: 3.162

5.  Self-consistent 3J coupling analysis for the joint calibration of Karplus coefficients and evaluation of torsion angles.

Authors:  J M Schmidt; M Blümel; F Löhr; H Rüterjans
Journal:  J Biomol NMR       Date:  1999-05       Impact factor: 2.835

6.  Simultaneous determination of protein structure and dynamics.

Authors:  Kresten Lindorff-Larsen; Robert B Best; Mark A Depristo; Christopher M Dobson; Michele Vendruscolo
Journal:  Nature       Date:  2005-01-13       Impact factor: 49.962

Review 7.  NMR studies of protein structure and dynamics.

Authors:  Lewis E Kay
Journal:  J Magn Reson       Date:  2005-04       Impact factor: 2.229

8.  What contributions to protein side-chain dynamics are probed by NMR experiments? A molecular dynamics simulation analysis.

Authors:  Robert B Best; Jane Clarke; Martin Karplus
Journal:  J Mol Biol       Date:  2005-03-16       Impact factor: 5.469

Review 9.  Measurement of homo- and heteronuclear J couplings from quantitative J correlation.

Authors:  A Bax; G W Vuister; S Grzesiek; F Delaglio; A C Wang; R Tschudin; G Zhu
Journal:  Methods Enzymol       Date:  1994       Impact factor: 1.600

10.  Conformation of valine side chains in ribonuclease T1 determined by NMR studies of homonuclear and heteronuclear 3J coupling constants.

Authors:  Y Karimi-Nejad; J M Schmidt; H Rüterjans; H Schwalbe; C Greisinger
Journal:  Biochemistry       Date:  1994-05-10       Impact factor: 3.162

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  19 in total

1.  On the calculation of ³Jαβ-coupling constants for side chains in proteins.

Authors:  Denise Steiner; Jane R Allison; Andreas P Eichenberger; Wilfred F van Gunsteren
Journal:  J Biomol NMR       Date:  2012-06-20       Impact factor: 2.835

2.  The Exact NOE as an Alternative in Ensemble Structure Determination.

Authors:  Beat Vögeli; Simon Olsson; Peter Güntert; Roland Riek
Journal:  Biophys J       Date:  2016-01-05       Impact factor: 4.033

3.  Relation between native ensembles and experimental structures of proteins.

Authors:  Robert B Best; Kresten Lindorff-Larsen; Mark A DePristo; Michele Vendruscolo
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-07       Impact factor: 11.205

4.  Distinguishing among structural ensembles of the GB1 peptide: REMD simulations and NMR experiments.

Authors:  Daniel S Weinstock; Chitra Narayanan; Anthony K Felts; Michael Andrec; Ronald M Levy; Kuen-Phon Wu; Jean Baum
Journal:  J Am Chem Soc       Date:  2007-04-03       Impact factor: 15.419

5.  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

6.  Analysis of sub-tauc and supra-tauc motions in protein Gbeta1 using molecular dynamics simulations.

Authors:  Jennifer M Bui; Jörg Gsponer; Michele Vendruscolo; Christopher M Dobson
Journal:  Biophys J       Date:  2009-11-04       Impact factor: 4.033

Review 7.  Assessing and refining molecular dynamics simulations of proteins with nuclear magnetic resonance data.

Authors:  Jane R Allison
Journal:  Biophys Rev       Date:  2012-09-01

8.  PPM: a side-chain and backbone chemical shift predictor for the assessment of protein conformational ensembles.

Authors:  Da-Wei Li; Rafael Brüschweiler
Journal:  J Biomol NMR       Date:  2012-09-13       Impact factor: 2.835

9.  On the statistical equivalence of restrained-ensemble simulations with the maximum entropy method.

Authors:  Benoît Roux; Jonathan Weare
Journal:  J Chem Phys       Date:  2013-02-28       Impact factor: 3.488

10.  Structure and dynamics of the Abeta(21-30) peptide from the interplay of NMR experiments and molecular simulations.

Authors:  Nicolas L Fawzi; Aaron H Phillips; Jory Z Ruscio; Michaeleen Doucleff; David E Wemmer; Teresa Head-Gordon
Journal:  J Am Chem Soc       Date:  2008-04-16       Impact factor: 15.419

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