Literature DB >> 16829580

Relation between native ensembles and experimental structures of proteins.

Robert B Best1, Kresten Lindorff-Larsen, Mark A DePristo, Michele Vendruscolo.   

Abstract

Different experimental structures of the same protein or of proteins with high sequence similarity contain many small variations. Here we construct ensembles of "high-sequence similarity Protein Data Bank" (HSP) structures and consider the extent to which such ensembles represent the structural heterogeneity of the native state in solution. We find that different NMR measurements probing structure and dynamics of given proteins in solution, including order parameters, scalar couplings, and residual dipolar couplings, are remarkably well reproduced by their respective high-sequence similarity Protein Data Bank ensembles; moreover, we show that the effects of uncertainties in structure determination are insufficient to explain the results. These results highlight the importance of accounting for native-state protein dynamics in making comparisons with ensemble-averaged experimental data and suggest that even a modest number of structures of a protein determined under different conditions, or with small variations in sequence, capture a representative subset of the true native-state ensemble.

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Year:  2006        PMID: 16829580      PMCID: PMC1544146          DOI: 10.1073/pnas.0511156103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

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Review 2.  Molecular dynamics simulations of biomolecules.

Authors:  Martin Karplus; J Andrew McCammon
Journal:  Nat Struct Biol       Date:  2002-09

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4.  Prediction of methyl-side chain dynamics in proteins.

Authors:  Dengming Ming; Rafael Brüschweiler
Journal:  J Biomol NMR       Date:  2004-07       Impact factor: 2.835

5.  Correlation between 2H NMR side-chain order parameters and sequence conservation in globular proteins.

Authors:  Anthony Mittermaier; Alan R Davidson; Lewis E Kay
Journal:  J Am Chem Soc       Date:  2003-07-30       Impact factor: 15.419

6.  Long-range dynamic effects of point mutations propagate through side chains in the serine protease inhibitor eglin c.

Authors:  Michael W Clarkson; Andrew L Lee
Journal:  Biochemistry       Date:  2004-10-05       Impact factor: 3.162

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

9.  Concordance of residual dipolar couplings, backbone order parameters and crystallographic B-factors for a small alpha/beta protein: a unified picture of high probability, fast atomic motions in proteins.

Authors:  G Marius Clore; Charles D Schwieters
Journal:  J Mol Biol       Date:  2006-02-03       Impact factor: 5.469

10.  Protein structure alignment by incremental combinatorial extension (CE) of the optimal path.

Authors:  I N Shindyalov; P E Bourne
Journal:  Protein Eng       Date:  1998-09
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  65 in total

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Authors:  Jozica Dolenc; John H Missimer; Michel O Steinmetz; Wilfred F van Gunsteren
Journal:  J Biomol NMR       Date:  2010-06-04       Impact factor: 2.835

2.  Automated electron-density sampling reveals widespread conformational polymorphism in proteins.

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Journal:  Protein Sci       Date:  2010-07       Impact factor: 6.725

3.  Recovering physical potentials from a model protein databank.

Authors:  J W Mullinax; W G Noid
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-01       Impact factor: 11.205

4.  Residue-specific side-chain packing determines the backbone dynamics of transmembrane model helices.

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Journal:  Biophys J       Date:  2010-10-20       Impact factor: 4.033

5.  Alternate states of proteins revealed by detailed energy landscape mapping.

Authors:  Michael D Tyka; Daniel A Keedy; Ingemar André; Frank Dimaio; Yifan Song; David C Richardson; Jane S Richardson; David Baker
Journal:  J Mol Biol       Date:  2010-11-10       Impact factor: 5.469

6.  Ensembles of a small number of conformations with relative populations.

Authors:  Vijay Vammi; Guang Song
Journal:  J Biomol NMR       Date:  2015-10-17       Impact factor: 2.835

7.  Experimental parameterization of an energy function for the simulation of unfolded proteins.

Authors:  Anders B Norgaard; Jesper Ferkinghoff-Borg; Kresten Lindorff-Larsen
Journal:  Biophys J       Date:  2007-09-07       Impact factor: 4.033

8.  Comparison of multiple crystal structures with NMR data for engrailed homeodomain.

Authors:  Tomasz L Religa
Journal:  J Biomol NMR       Date:  2008-02-15       Impact factor: 2.835

9.  Computational identification of slow conformational fluctuations in proteins.

Authors:  Arvind Ramanathan; Pratul K Agarwal
Journal:  J Phys Chem B       Date:  2009-12-31       Impact factor: 2.991

10.  Flexible backbone sampling methods to model and design protein alternative conformations.

Authors:  Noah Ollikainen; Colin A Smith; James S Fraser; Tanja Kortemme
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

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