Literature DB >> 9094330

RNA structures and folding: from conventional to new issues in structure predictions.

P Schuster1, P F Stadler, A Renner.   

Abstract

Prediction and modeling of RNA structures has become an indispensable tool of biological research disciplines. Currently, reliable predictions require massive input of experimental data. Structure-forming elements are conventional base pairs, as well as a rapidly increasing repertoire of novel structural motifs. New developments extend structural analysis beyond the one-sequence/one-structure paradigm and allow questions that are relevant to molecular evolution to be answered.

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Year:  1997        PMID: 9094330     DOI: 10.1016/s0959-440x(97)80030-9

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  6 in total

1.  Cross-talk between orientation-dependent recognition determinants of a complex control RNA element, the enterovirus oriR.

Authors:  W J Melchers; J M Bakkers; H J Bruins Slot; J M Galama; V I Agol; E V Pilipenko
Journal:  RNA       Date:  2000-07       Impact factor: 4.942

2.  The folding of large RNAs studied by hybridization to arrays of complementary oligonucleotides.

Authors:  M Sohail; S Akhtar; E M Southern
Journal:  RNA       Date:  1999-05       Impact factor: 4.942

3.  Grass evolution inferred from chromosomal rearrangements and geometrical and statistical features in RNA structure.

Authors:  Gustavo Caetano-Anollés
Journal:  J Mol Evol       Date:  2005-05       Impact factor: 2.395

4.  A hybrid neural network system for prediction and recognition of promoter regions in human genome.

Authors:  Chuan-Bo Chen; Tao Li
Journal:  J Zhejiang Univ Sci B       Date:  2005-05       Impact factor: 3.066

5.  Identification of RNA sequences and structures involved in site-specific cleavage of IGF-II mRNAs.

Authors:  E L van Dijk; J S Sussenbach; P E Holthuizen
Journal:  RNA       Date:  1998-12       Impact factor: 4.942

6.  Improving RNA Branching Predictions: Advances and Limitations.

Authors:  Svetlana Poznanović; Carson Wood; Michael Cloer; Christine Heitsch
Journal:  Genes (Basel)       Date:  2021-03-25       Impact factor: 4.096

  6 in total

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