Literature DB >> 14756550

Hydrophobic core fluidity of homologous protein domains: relation of side-chain dynamics to core composition and packing.

Robert B Best1, Trevor J Rutherford, Stefan M V Freund, Jane Clarke.   

Abstract

The side-chain dynamics of methyl groups in two structurally related proteins from the fibronectin type III (fnIII) superfamily, the third fnIII domain from human tenascin (TNfn3) and the tenth fnIII domain from human fibronectin (FNfn10), have been studied by NMR spectroscopy. Side-chain order parameters reveal that the hydrophobic cores of the two proteins have substantially different mobilities. The core of TNfn3 is very dynamic, with exceptionally low order parameters for the most deeply buried residues, while that of FNfn10 is more like those of other proteins which have been studied with this technique, having a relatively rigid core with uniformly distributed dynamics. The unusually dynamic core of TNfn3 appears to be related to its amino acid composition, which makes it more fluid-like. A further explanation for the mobility of the TNfn3 core may be found in the negative correlation between the order parameter and excess packing volume, which shows that the core of TNfn3 is less densely packed and consequently has lower methyl order parameters for its buried residues. Rotameric transitions, presumably facilitated by the lower packing density, appear to make an important contribution to lowering the order parameters, and have been probed by measuring three-bond scalar couplings. Overall, although backbone dynamics is generally similar for proteins with the same topology on a fast time scale (picoseconds to nanoseconds), this study shows that a single fold can accommodate a wide variation in the dynamic properties of its core.

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Year:  2004        PMID: 14756550     DOI: 10.1021/bi035658e

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  16 in total

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

Authors:  Stefan Quint; Simon Widmaier; David Minde; Daniel Hornburg; Dieter Langosch; Christina Scharnagl
Journal:  Biophys J       Date:  2010-10-20       Impact factor: 4.033

2.  Interpreting dynamically-averaged scalar couplings in proteins.

Authors:  Kresten Lindorff-Larsen; Robert B Best; Michele Vendruscolo
Journal:  J Biomol NMR       Date:  2005-08       Impact factor: 2.835

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.  On the characterization of protein native state ensembles.

Authors:  Amarda Shehu; Lydia E Kavraki; Cecilia Clementi
Journal:  Biophys J       Date:  2006-12-08       Impact factor: 4.033

Review 5.  Characterization of the fast dynamics of protein amino acid side chains using NMR relaxation in solution.

Authors:  Tatyana I Igumenova; Kendra King Frederick; A Joshua Wand
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

6.  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

7.  Designing an extracellular matrix protein with enhanced mechanical stability.

Authors:  Sean P Ng; Kate S Billings; Tomoo Ohashi; Mark D Allen; Robert B Best; Lucy G Randles; Harold P Erickson; Jane Clarke
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-29       Impact factor: 11.205

8.  A simple model of backbone flexibility improves modeling of side-chain conformational variability.

Authors:  Gregory D Friedland; Anthony J Linares; Colin A Smith; Tanja Kortemme
Journal:  J Mol Biol       Date:  2008-05-11       Impact factor: 5.469

9.  Slow motions in the hydrophobic core of chicken villin headpiece subdomain and their contributions to configurational entropy and heat capacity from solid-state deuteron NMR measurements.

Authors:  Liliya Vugmeyster; Dmitry Ostrovsky; Anastasia Khadjinova; Jeremy Ellden; Gina L Hoatson; Robert L Vold
Journal:  Biochemistry       Date:  2011-11-18       Impact factor: 3.162

10.  The description of protein internal motions aids selection of ligand binding poses by the INPHARMA method.

Authors:  Benjamin Stauch; Julien Orts; Teresa Carlomagno
Journal:  J Biomol NMR       Date:  2012-09-22       Impact factor: 2.835

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