Literature DB >> 19652920

Accessing ns-micros side chain dynamics in ubiquitin with methyl RDCs.

Christophe Farès1, Nils-Alexander Lakomek, Korvin F A Walter, Benedikt T C Frank, Jens Meiler, Stefan Becker, Christian Griesinger.   

Abstract

This study presents the first application of the model-free analysis (MFA) (Meiler in J Am Chem Soc 123:6098-6107, 2001; Lakomek in J Biomol NMR 34:101-115, 2006) to methyl group RDCs measured in 13 different alignment media in order to describe their supra-tau (c) dynamics in ubiquitin. Our results indicate that methyl groups vary from rigid to very mobile with good correlation to residue type, distance to backbone and solvent exposure, and that considerable additional dynamics are effective at rates slower than the correlation time tau (c). In fact, the average amplitude of motion expressed in terms of order parameters S (2) associated with the supra-tau (c) window brings evidence to the existence of fluctuations contributing as much additional mobility as those already present in the faster ps-ns time scale measured from relaxation data. Comparison to previous results on ubiquitin demonstrates that the RDC-derived order parameters are dominated both by rotameric interconversions and faster libration-type motions around equilibrium positions. They match best with those derived from a combined J-coupling and residual dipolar coupling approach (Chou in J Am Chem Soc 125:8959-8966, 2003) taking backbone motion into account. In order to appreciate the dynamic scale of side chains over the entire protein, the methyl group order parameters are compared to existing dynamic ensembles of ubiquitin. Of those recently published, the broadest one, namely the EROS ensemble (Lange in Science 320:1471-1475, 2008), fits the collection of methyl group order parameters presented here best. Last, we used the MFA-derived averaged spherical harmonics to perform highly-parameterized rotameric searches of the side chains conformation and find expanded rotamer distributions with excellent fit to our data. These rotamer distributions suggest the presence of concerted motions along the side chains.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19652920      PMCID: PMC2728246          DOI: 10.1007/s10858-009-9354-7

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


  72 in total

1.  Protein side-chain rotamers from dipolar couplings in a liquid crystalline phase.

Authors:  J J Chou; A Bax
Journal:  J Am Chem Soc       Date:  2001-04-25       Impact factor: 15.419

Review 2.  Weak alignment NMR: a hawk-eyed view of biomolecular structure.

Authors:  Ad Bax; Alexander Grishaev
Journal:  Curr Opin Struct Biol       Date:  2005-10       Impact factor: 6.809

3.  13C NMR relaxation studies of RNA base and ribose nuclei reveal a complex pattern of motions in the RNA binding site for human U1A protein.

Authors:  Zahra Shajani; Gabriele Varani
Journal:  J Mol Biol       Date:  2005-04-21       Impact factor: 5.469

4.  A thorough dynamic interpretation of residual dipolar couplings in ubiquitin.

Authors:  Nils A Lakomek; Teresa Carlomagno; Stefan Becker; Christian Griesinger; Jens Meiler
Journal:  J Biomol NMR       Date:  2006-02       Impact factor: 2.835

5.  The backrub motion: how protein backbone shrugs when a sidechain dances.

Authors:  Ian W Davis; W Bryan Arendall; David C Richardson; Jane S Richardson
Journal:  Structure       Date:  2006-02       Impact factor: 5.006

6.  Differential responses of the backbone and side-chain conformational dynamics in FKBP12 upon binding the transition-state analog FK506: implications for transition-state stabilization and target protein recognition.

Authors:  Ulrika Brath; Mikael Akke
Journal:  J Mol Biol       Date:  2009-01-30       Impact factor: 5.469

7.  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

8.  Conformation of amino acid side-chains in proteins.

Authors:  J Janin; S Wodak
Journal:  J Mol Biol       Date:  1978-11-05       Impact factor: 5.469

9.  Deuterium order parameters in relation to thermodynamic properties of a phospholiped bilayer. A statistical mechanical interpretation.

Authors:  H Schindler; J Seelig
Journal:  Biochemistry       Date:  1975-06-03       Impact factor: 3.162

10.  The MUMO (minimal under-restraining minimal over-restraining) method for the determination of native state ensembles of proteins.

Authors:  Barbara Richter; Joerg Gsponer; Péter Várnai; Xavier Salvatella; Michele Vendruscolo
Journal:  J Biomol NMR       Date:  2007-01-16       Impact factor: 2.835

View more
  16 in total

1.  Thermal coefficients of the methyl groups within ubiquitin.

Authors:  T Michael Sabo; Davood Bakhtiari; Korvin F A Walter; Robert L McFeeters; Karin Giller; Stefan Becker; Christian Griesinger; Donghan Lee
Journal:  Protein Sci       Date:  2012-03-02       Impact factor: 6.725

2.  Population shuffling between ground and high energy excited states.

Authors:  T Michael Sabo; John O Trent; Donghan Lee
Journal:  Protein Sci       Date:  2015-10-15       Impact factor: 6.725

3.  X-ray scattering experiments with high-flux X-ray source coupled rapid mixing microchannel device and their potential for high-flux neutron scattering investigations.

Authors:  R Jain; M Petri; S Kirschbaum; H Feindt; S Steltenkamp; S Sonnenkalb; S Becker; C Griesinger; A Menzel; T P Burg; S Techert
Journal:  Eur Phys J E Soft Matter       Date:  2013-09-27       Impact factor: 1.890

4.  Side chain: backbone projections in aromatic and ASX residues from NMR cross-correlated relaxation.

Authors:  Beat Vögeli; Roland Riek
Journal:  J Biomol NMR       Date:  2009-11-11       Impact factor: 2.835

5.  Toward a predictive understanding of slow methyl group dynamics in proteins.

Authors:  Dong Long; Da-Wei Li; Korvin F A Walter; Christian Griesinger; Rafael Brüschweiler
Journal:  Biophys J       Date:  2011-08-17       Impact factor: 4.033

6.  Structure-based prediction of methyl chemical shifts in proteins.

Authors:  Aleksandr B Sahakyan; Wim F Vranken; Andrea Cavalli; Michele Vendruscolo
Journal:  J Biomol NMR       Date:  2011-07-12       Impact factor: 2.835

Review 7.  An introduction to NMR-based approaches for measuring protein dynamics.

Authors:  Ian R Kleckner; Mark P Foster
Journal:  Biochim Biophys Acta       Date:  2010-11-06

Review 8.  Applications of NMR and computational methodologies to study protein dynamics.

Authors:  Chitra Narayanan; Khushboo Bafna; Louise D Roux; Pratul K Agarwal; Nicolas Doucet
Journal:  Arch Biochem Biophys       Date:  2017-05-05       Impact factor: 4.013

9.  CHARMM36 all-atom additive protein force field: validation based on comparison to NMR data.

Authors:  Jing Huang; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2013-07-06       Impact factor: 3.376

10.  Long-range intra-protein communication can be transmitted by correlated side-chain fluctuations alone.

Authors:  Kateri H Dubay; Jacques P Bothma; Phillip L Geissler
Journal:  PLoS Comput Biol       Date:  2011-09-29       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.