Literature DB >> 9719641

Vibrational dynamics of transfer RNAs: comparison of the free and synthetase-bound forms.

I Bahar1, R L Jernigan.   

Abstract

The vibrational dynamics of transfer RNAs, both free, and complexed with the cognate synthetase, are analyzed using a model (Gaussian network model) which recently proved to satisfactorily describe the collective motions of folded proteins. The approach is similar to a normal mode analysis, with the major simplification that no residue specificity is taken into consideration, which permits us (i) to cast the problem into an analytical form applicable to biomolecular systems including about 10(3 )residues, and (ii) to acquire information on the essential dynamics of such large systems within computational times at least two orders of magnitude shorter than conventional simulations. On a local scale, the fluctuations calculated for yeast tRNAPhe and tRNAAsp in the free state, and for tRNAGln complexed with glutaminyl-tRNA synthetase (GlnRS) are in good agreement with the corresponding crystallographic B factors. On a global scale, a hinge-bending region comprising nucleotides U8 to C12 in the D arm, G20 to G22 in the D loop, and m7G46 to C48 in the variable loop (for tRNAPhe), is identified in the free tRNA, conforming with previous observations. The two regions subject to the largest amplitude anticorrelated fluctuations in the free form, i.e. the anticodon region and the acceptor arm are, at the same time, the regions that experience the most severe suppression in their flexibilities upon binding to synthetase, suggesting that their sampling of the conformational space facilitates their recognition by the synthetase. Likewise, examination of the global mode of motion of GlnRS in the complex indicates that residues 40 to 45, 260 to 270, 306 to 314, 320 to 327 and 478 to 485, all of which cluster near the ATP binding site, form a hinge-bending region controlling the cooperative motion, and thereby the catalytic function, of the enzyme. The distal beta-barrel and the tRNA acceptor binding domain, on the other hand, are distinguished by their high mobilities in the global modes of motion, a feature typical of recognition sites, also observed for other proteins. Most of the conserved bases and residues of tRNA and GlnRS are severely constrained in the global motions of the molecules, suggesting their having a role in stabilizing and modulating the global motion. Copyright 1998 Academic Press

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Year:  1998        PMID: 9719641     DOI: 10.1006/jmbi.1998.1978

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  48 in total

1.  Anisotropy of fluctuation dynamics of proteins with an elastic network model.

Authors:  A R Atilgan; S R Durell; R L Jernigan; M C Demirel; O Keskin; I Bahar
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

2.  Conformational deformability of RNA: a harmonic mode analysis.

Authors:  M Zacharias; H Sklenar
Journal:  Biophys J       Date:  2000-05       Impact factor: 4.033

3.  Dynamic reorganization of the functionally active ribosome explored by normal mode analysis and cryo-electron microscopy.

Authors:  Florence Tama; Mikel Valle; Joachim Frank; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-23       Impact factor: 11.205

4.  Efficient generation of feasible pathways for protein conformational transitions.

Authors:  Moon K Kim; Robert L Jernigan; Gregory S Chirikjian
Journal:  Biophys J       Date:  2002-09       Impact factor: 4.033

5.  Allosteric Dynamic Control of Binding.

Authors:  Fidan Sumbul; Saliha Ece Acuner-Ozbabacan; Turkan Haliloglu
Journal:  Biophys J       Date:  2015-08-31       Impact factor: 4.033

6.  Normal modes for predicting protein motions: a comprehensive database assessment and associated Web tool.

Authors:  Vadim Alexandrov; Ursula Lehnert; Nathaniel Echols; Duncan Milburn; Donald Engelman; Mark Gerstein
Journal:  Protein Sci       Date:  2005-03       Impact factor: 6.725

7.  iGNM: a database of protein functional motions based on Gaussian Network Model.

Authors:  Lee-Wei Yang; Xiong Liu; Christopher J Jursa; Mark Holliman; A J Rader; Hassan A Karimi; Ivet Bahar
Journal:  Bioinformatics       Date:  2005-04-28       Impact factor: 6.937

8.  Comparison of tRNA motions in the free and ribosomal bound structures.

Authors:  Yongmei Wang; Robert L Jernigan
Journal:  Biophys J       Date:  2005-08-19       Impact factor: 4.033

9.  Relating molecular flexibility to function: a case study of tubulin.

Authors:  Ozlem Keskin; Stewart R Durell; Ivet Bahar; Robert L Jernigan; David G Covell
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

10.  Effects of protein subunits removal on the computed motions of partial 30S structures of the ribosome.

Authors:  Aimin Yan; Yongmei Wang; Andrzej Kloczkowski; Robert L Jernigan
Journal:  J Chem Theory Comput       Date:  2008-09-20       Impact factor: 6.006

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