Literature DB >> 16584184

Transfer RNAs: electrostatic patterns and an early stage of recognition by synthetases and elongation factor EF-Tu.

Robert V Polozov1, Mikhail Montrel, Victor V Ivanov, Yuri Melnikov, Victor S Sivozhelezov.   

Abstract

Distributions of phosphate backbone-produced electrostatic potentials around several tRNAs were calculated by solving the nonlinear Poisson-Boltzmann equation. The tRNAs were either free or bound to the proteins involved in translation: aminoacyl-tRNA and elongation factor EF-Tu. We identified several regions of strong negative potential related to typical structural patterns of tRNA and invariant throughout the tRNAs. The patterns are conserved upon binding of tRNAs to the synthetase and the EF-Tu. Variation of tRNA charge in our theoretical calculations of electrostatic potential-mediated pK shifts of pH-dependent labels attached to tRNA, compared to experimentally observed pK shifts for those labels, shows that the total charge of tRNA is large, within the interval of -40 to -70 proton charges. The electrostatic field of tRNA is sufficient to cause ionization of histidine residues of ARSase, causing additional free energy of ARSase-tRNA interaction of at least several kcal/mol. This may discriminate proteins with respect to the particular tRNA at large distances. Two types of tRNA-protein electrostatic recognition mechanisms are discussed. One, more specific, involves charges induced on protein by the large electrostatic potential of tRNA, while the other, less specific, does not involve induced charges.

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Year:  2006        PMID: 16584184     DOI: 10.1021/bi0516733

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


  2 in total

1.  The Poisson-Boltzmann model for tRNA: Assessment of the calculation set-up and ionic concentration cutoff.

Authors:  Magdalena Gruziel; Pawel Grochowski; Joanna Trylska
Journal:  J Comput Chem       Date:  2008-09       Impact factor: 3.376

2.  Discovering RNA-protein interactome by using chemical context profiling of the RNA-protein interface.

Authors:  Marc Parisien; Xiaoyun Wang; George Perdrizet; Corissa Lamphear; Carol A Fierke; Ketan C Maheshwari; Michael J Wilde; Tobin R Sosnick; Tao Pan
Journal:  Cell Rep       Date:  2013-05-09       Impact factor: 9.423

  2 in total

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