Literature DB >> 16100266

Comparison of mode analyses at different resolutions applied to nucleic acid systems.

Adam W Van Wynsberghe1, Qiang Cui.   

Abstract

More than two decades of different types of mode analyses has shown that these techniques can be useful in describing large-scale motions in protein systems. A number of mode analyses are available and include quasiharmonics, classical normal mode, block normal mode, and the elastic network model. Each of these methods has been validated for protein systems and this variety allows researchers to choose the technique that gives the best compromise between computational cost and the level of detail in the calculation. These same techniques have not been systematically tested for nucleic acid systems, however. Given the differences in interactions and structural features between nucleic acid and protein systems, the validity of these techniques in the protein regime cannot be directly translated into validity in the nucleic acid realm. In this work, we investigate the usefulness of the above mode analyses as applied to two RNA systems, i.e., the hammerhead ribozyme and a guanine riboswitch. We show that classical normal-mode analysis can match the magnitude and direction of residue fluctuations from the more detailed, anharmonic technique, quasiharmonic analysis of a molecular dynamics trajectory. The block normal-mode approximation is shown to hold in the nucleic acid systems studied. Only the mode analysis at the lowest level of detail, the elastic network model, produced mixed results in our calculations. We present data that suggest that the elastic network model, with the popular parameterization, is not best suited for systems that do not have a close packed structure; this observation also hints at why the elastic network model has been found to be valid for many globular protein systems. The different behaviors of block normal-mode analysis and the elastic network model, which invoke similar degrees of coarse-graining to the dynamics but use different potentials, suggest the importance of applying a heterogeneous potential function in a robust analysis of the dynamics of biomolecules, especially those that are not closely packed. In addition to these comparisons, we briefly discuss insights into the conformational space available to the hammerhead ribozyme.

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Year:  2005        PMID: 16100266      PMCID: PMC1366792          DOI: 10.1529/biophysj.105.065664

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  67 in total

1.  Reaction pathway of the trans-acting hepatitis delta virus ribozyme: a conformational change accompanies catalysis.

Authors:  Miguel J B Pereira; Dinari A Harris; David Rueda; Nils G Walter
Journal:  Biochemistry       Date:  2002-01-22       Impact factor: 3.162

2.  Energetics of glycerol conduction through aquaglyceroporin GlpF.

Authors:  Morten Ø Jensen; Sanghyun Park; Emad Tajkhorshid; Klaus Schulten
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-07       Impact factor: 11.205

3.  Tertiary and quaternary conformational changes in aspartate transcarbamylase: a normal mode study.

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Journal:  Proteins       Date:  1999-01-01

4.  Exploring global distortions of biological macromolecules and assemblies from low-resolution structural information and elastic network theory.

Authors:  Florence Tama; Willy Wriggers; Charles L Brooks
Journal:  J Mol Biol       Date:  2002-08-09       Impact factor: 5.469

5.  Assessing the efficiency of free energy calculation methods.

Authors:  David Rodriguez-Gomez; Eric Darve; Andrew Pohorille
Journal:  J Chem Phys       Date:  2004-02-22       Impact factor: 3.488

6.  Harmonic and anharmonic aspects in the dynamics of BPTI: a normal mode analysis and principal component analysis.

Authors:  S Hayward; A Kitao; N Go
Journal:  Protein Sci       Date:  1994-06       Impact factor: 6.725

7.  The crystal structure of an all-RNA hammerhead ribozyme: a proposed mechanism for RNA catalytic cleavage.

Authors:  W G Scott; J T Finch; A Klug
Journal:  Cell       Date:  1995-06-30       Impact factor: 41.582

8.  Involvement of a specific metal ion in the transition of the hammerhead ribozyme to its catalytic conformation.

Authors:  A Peracchi; L Beigelman; E C Scott; O C Uhlenbeck; D Herschlag
Journal:  J Biol Chem       Date:  1997-10-24       Impact factor: 5.157

9.  Thiamine derivatives bind messenger RNAs directly to regulate bacterial gene expression.

Authors:  Wade Winkler; Ali Nahvi; Ronald R Breaker
Journal:  Nature       Date:  2002-10-16       Impact factor: 49.962

10.  The RNA moiety of ribonuclease P is the catalytic subunit of the enzyme.

Authors:  C Guerrier-Takada; K Gardiner; T Marsh; N Pace; S Altman
Journal:  Cell       Date:  1983-12       Impact factor: 41.582

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  25 in total

1.  Toward a consensus view of duplex RNA flexibility.

Authors:  Ignacio Faustino; Alberto Pérez; Modesto Orozco
Journal:  Biophys J       Date:  2010-09-22       Impact factor: 4.033

2.  The role of shape in determining molecular motions.

Authors:  Mingyang Lu; Jianpeng Ma
Journal:  Biophys J       Date:  2005-07-29       Impact factor: 4.033

3.  Optimization and evaluation of a coarse-grained model of protein motion using x-ray crystal data.

Authors:  Dmitry A Kondrashov; Qiang Cui; George N Phillips
Journal:  Biophys J       Date:  2006-08-04       Impact factor: 4.033

4.  iRED analysis of TAR RNA reveals motional coupling, long-range correlations, and a dynamical hinge.

Authors:  Catherine Musselman; Hashim M Al-Hashimi; Ioan Andricioaei
Journal:  Biophys J       Date:  2007-04-20       Impact factor: 4.033

5.  Analyzing the flexibility of RNA structures by constraint counting.

Authors:  Simone Fulle; Holger Gohlke
Journal:  Biophys J       Date:  2008-02-15       Impact factor: 4.033

Review 6.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

7.  Deciphering the mismatch recognition cycle in MutS and MSH2-MSH6 using normal-mode analysis.

Authors:  Shayantani Mukherjee; Sean M Law; Michael Feig
Journal:  Biophys J       Date:  2009-03-04       Impact factor: 4.033

8.  Systematic multiscale parameterization of heterogeneous elastic network models of proteins.

Authors:  Edward Lyman; Jim Pfaendtner; Gregory A Voth
Journal:  Biophys J       Date:  2008-07-25       Impact factor: 4.033

9.  Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments.

Authors:  Giovanni Pinamonti; Sandro Bottaro; Cristian Micheletti; Giovanni Bussi
Journal:  Nucleic Acids Res       Date:  2015-07-17       Impact factor: 16.971

10.  Coarse-grained models reveal functional dynamics--I. Elastic network models--theories, comparisons and perspectives.

Authors:  Lee-Wei Yang; Choon-Peng Chng
Journal:  Bioinform Biol Insights       Date:  2008-03-04
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