Literature DB >> 10890402

Metrics on RNA secondary structures.

V Moulton1, M Zuker, M Steel, R Pointon, D Penny.   

Abstract

Many different programs have been developed for the prediction of the secondary structure of an RNA sequence. Some of these programs generate an ensemble of structures, all of which have free energy close to that of the optimal structure, making it important to be able to quantify how similar these different structures are. To deal with this problem, we define a new class of metrics, the mountain metrics, on the set of RNA secondary structures of a fixed length. We compare properties of these metrics with other well known metrics on RNA secondary structures. We also study some global and local properties of these metrics.

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Year:  2000        PMID: 10890402     DOI: 10.1089/10665270050081522

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  24 in total

1.  Profiling small RNA reveals multimodal substructural signals in a Boltzmann ensemble.

Authors:  Emily Rogers; Christine E Heitsch
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 16.971

2.  Optimal alphabets for an RNA world.

Authors:  Paul P Gardner; Barbara R Holland; Vincent Moulton; Mike Hendy; David Penny
Journal:  Proc Biol Sci       Date:  2003-06-07       Impact factor: 5.349

3.  RNA molecules with structure dependent functions are uniquely folded.

Authors:  Shu-Yun Le; Kaizhong Zhang; Jacob V Maizel
Journal:  Nucleic Acids Res       Date:  2002-08-15       Impact factor: 16.971

4.  Comparing RNA secondary structures using a relaxed base-pair score.

Authors:  Phaedra Agius; Kristin P Bennett; Michael Zuker
Journal:  RNA       Date:  2010-04-01       Impact factor: 4.942

5.  RNA secondary structure prediction by centroids in a Boltzmann weighted ensemble.

Authors:  Ye Ding; Chi Yu Chan; Charles E Lawrence
Journal:  RNA       Date:  2005-08       Impact factor: 4.942

6.  Unique folding of precursor microRNAs: quantitative evidence and implications for de novo identification.

Authors:  Stanley Ng Kwang Loong; Santosh K Mishra
Journal:  RNA       Date:  2006-12-28       Impact factor: 4.942

7.  Boltzmann ensemble features of RNA secondary structures: a comparative analysis of biological RNA sequences and random shuffles.

Authors:  Chi Yu Chan; Ye Ding
Journal:  J Math Biol       Date:  2007-10-02       Impact factor: 2.259

8.  Watson-Crick pairing, the Heisenberg group and Milnor invariants.

Authors:  Siddhartha Gadgil
Journal:  J Math Biol       Date:  2008-10-02       Impact factor: 2.259

9.  RNA folding kinetics using Monte Carlo and Gillespie algorithms.

Authors:  Peter Clote; Amir H Bayegan
Journal:  J Math Biol       Date:  2017-08-05       Impact factor: 2.259

10.  Computing folding pathways between RNA secondary structures.

Authors:  Ivan Dotu; William A Lorenz; Pascal Van Hentenryck; Peter Clote
Journal:  Nucleic Acids Res       Date:  2009-12-30       Impact factor: 16.971

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