Literature DB >> 21515288

The end-to-end distance of RNA as a randomly self-paired polymer.

Li Tai Fang1.   

Abstract

In this paper, we present the end-to-end distance of randomly self-paired polymers (RSPPs). We define a randomly self-paired polymer as a linear polymer each of whose monomers has a probability, f(0<f<1), of pairing with any other one monomer. The RSPP model is inspired by numerous observations that the ends of RNAs are in close proximity. We use this model to explain this proximity. The prediction made by the RSPP model is consistent with these observations. Mapping an RNA with a length of 1000 nucleotides and a pairing fraction of 0.6 onto our RSPP model, for example, we predict an expected end-to-end distance of about 14 unpaired bases. We have also found that the expected end-to-end distance of the RSPP scales roughly as the 1/4 power of its total length.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21515288     DOI: 10.1016/j.jtbi.2011.04.010

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  The separation between the 5'-3' ends in long RNA molecules is short and nearly constant.

Authors:  Nehemías Leija-Martínez; Sergio Casas-Flores; Rubén D Cadena-Nava; Joan A Roca; José A Mendez-Cabañas; Eduardo Gomez; Jaime Ruiz-Garcia
Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 16.971

Review 2.  Making ends meet: New functions of mRNA secondary structure.

Authors:  Dmitri N Ermolenko; David H Mathews
Journal:  Wiley Interdiscip Rev RNA       Date:  2020-06-29       Impact factor: 9.957

3.  Graph-distance distribution of the Boltzmann ensemble of RNA secondary structures.

Authors:  Jing Qin; Markus Fricke; Manja Marz; Peter F Stadler; Rolf Backofen
Journal:  Algorithms Mol Biol       Date:  2014-09-11       Impact factor: 1.405

4.  mRNAs and lncRNAs intrinsically form secondary structures with short end-to-end distances.

Authors:  Wan-Jung C Lai; Mohammad Kayedkhordeh; Erica V Cornell; Elie Farah; Stanislav Bellaousov; Robert Rietmeijer; Enea Salsi; David H Mathews; Dmitri N Ermolenko
Journal:  Nat Commun       Date:  2018-10-18       Impact factor: 14.919

  4 in total

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