Literature DB >> 17129165

Size, shape, and flexibility of RNA structures.

Changbong Hyeon1, Ruxandra I Dima, D Thirumalai.   

Abstract

Determination of sizes and flexibilities of RNA molecules is important in understanding the nature of packing in folded structures and in elucidating interactions between RNA and DNA or proteins. Using the coordinates of the structures of RNA in the Protein Data Bank we find that the size of the folded RNA structures, measured using the radius of gyration R(G), follows the Flory scaling law, namely, R(G)=5.5N(1/3) A, where N is the number of nucleotides. The shape of RNA molecules is characterized by the asphericity Delta and the shape S parameters that are computed using the eigenvalues of the moment of inertia tensor. From the distribution of Delta, we find that a large fraction of folded RNA structures are aspherical and the distribution of S values shows that RNA molecules are prolate (S>0). The flexibility of folded structures is characterized by the persistence length l(p). By fitting the distance distribution function P(r), that is computed using the coordinates of the folded RNA, to the wormlike chain model we extracted the persistence length l(p). We find that l(p) approximately 1.5N(0.33) A which might reflect the large separation between the free energies that stabilize secondary and tertiary structures. The dependence of l(p) on N implies that the average length of helices should increase as the size of RNA grows. We also analyze packing in the structures of ribosomes (30S, 50S, and 70S) in terms of R(G), Delta, S, and l(p). The 70S and the 50S subunits are more spherical compared to most RNA molecules. The globularity in 50S is due to the presence of an unusually large number (compared to 30S subunit) of small helices that are stitched together by bulges and loops. Comparison of the shapes of the intact 70S ribosome and the constituent particles suggests that folding of the individual molecules might occur prior to assembly.

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Year:  2006        PMID: 17129165     DOI: 10.1063/1.2364190

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  40 in total

1.  Structural distributions from single-molecule measurements as a tool for molecular mechanics.

Authors:  Jeffrey A Hanson; Jason Brokaw; Carl C Hayden; Jhih-Wei Chu; Haw Yang
Journal:  Chem Phys       Date:  2011-06-22       Impact factor: 2.348

2.  Visualizing large RNA molecules in solution.

Authors:  Ajaykumar Gopal; Z Hong Zhou; Charles M Knobler; William M Gelbart
Journal:  RNA       Date:  2011-12-21       Impact factor: 4.942

3.  Chain length determines the folding rates of RNA.

Authors:  Changbong Hyeon; D Thirumalai
Journal:  Biophys J       Date:  2012-02-07       Impact factor: 4.033

4.  Domain III of the T. thermophilus 23S rRNA folds independently to a near-native state.

Authors:  Shreyas S Athavale; J Jared Gossett; Chiaolong Hsiao; Jessica C Bowman; Eric O'Neill; Eli Hershkovitz; Thanawadee Preeprem; Nicholas V Hud; Roger M Wartell; Stephen C Harvey; Loren Dean Williams
Journal:  RNA       Date:  2012-02-14       Impact factor: 4.942

5.  On the significance of an RNA tertiary structure prediction.

Authors:  Christine E Hajdin; Feng Ding; Nikolay V Dokholyan; Kevin M Weeks
Journal:  RNA       Date:  2010-05-24       Impact factor: 4.942

Review 6.  Taming free energy landscapes with RNA chaperones.

Authors:  Sarah A Woodson
Journal:  RNA Biol       Date:  2010-11-01       Impact factor: 4.652

7.  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

8.  The snakelike chain character of unstructured RNA.

Authors:  David R Jacobson; Dustin B McIntosh; Omar A Saleh
Journal:  Biophys J       Date:  2013-12-03       Impact factor: 4.033

9.  Elasticity of DNA and the effect of dendrimer binding.

Authors:  Santosh Mogurampelly; Bidisha Nandy; Roland R Netz; Prabal K Maiti
Journal:  Eur Phys J E Soft Matter       Date:  2013-06-28       Impact factor: 1.890

10.  Predicting the sizes of large RNA molecules.

Authors:  Aron M Yoffe; Peter Prinsen; Ajaykumar Gopal; Charles M Knobler; William M Gelbart; Avinoam Ben-Shaul
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-09       Impact factor: 11.205

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