Literature DB >> 10068689

Stem Trace: an interactive visual tool for comparative RNA structure analysis.

W Kasprzak1, B Shapiro.   

Abstract

MOTIVATION: Stem Trace is one of the latest tools available in STRUCTURELAB, an RNA structure analysis computer workbench. The paradigm used in STRUCTURELAB views RNA structure determination as a problem of dealing with a database of a large number of computationally generated structures. Stem Trace provides the capability to analyze this data set in a novel, visually driven, interactive and exploratory way. In addition to providing graphs at a high level of ion, it is also connected with complementary visualization tools which provide orthogonal views of the same data, as well as drawing of structures represented by a stem trace. Thus, on top of being an analysis tool, Stem Trace is a graphical user interface to an RNA structural information database.
RESULTS: We illustrate Stem Trace's capabilities with several examples of the analysis of RNA folding data performed on 24 strains of HIV-1, HIV-2 and SIV sequences around the HIV dimerization region. This dimer linkage site has been found to play a role in encapsidation, reverse transcription, recombination, and inhibition of translation. Our examples show how Stem Trace elucidates preservation of structures in this region across the various strains of HIV. AVAILABILITY: The program can be made available upon request. It runs on SUN, SGI and DEC (Compaq) Unix workstations.

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Year:  1999        PMID: 10068689     DOI: 10.1093/bioinformatics/15.1.16

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  Prediction of DNA single-strand conformation polymorphism: analysis by capillary electrophoresis and computerized DNA modeling.

Authors:  D H Atha; W Kasprzak; C D O'Connell; B A Shapiro
Journal:  Nucleic Acids Res       Date:  2001-11-15       Impact factor: 16.971

2.  Identification of cis-acting elements in the 3'-untranslated region of the dengue virus type 2 RNA that modulate translation and replication.

Authors:  Mark Manzano; Erin D Reichert; Stephanie Polo; Barry Falgout; Wojciech Kasprzak; Bruce A Shapiro; Radhakrishnan Padmanabhan
Journal:  J Biol Chem       Date:  2011-04-22       Impact factor: 5.157

3.  A pseudoknot in a preactive form of a viral RNA is part of a structural switch activating minus-strand synthesis.

Authors:  Jiuchun Zhang; Guohua Zhang; Rong Guo; Bruce A Shapiro; Anne E Simon
Journal:  J Virol       Date:  2006-09       Impact factor: 5.103

4.  A base-specific recognition signal in the 5' consensus sequence of rotavirus plus-strand RNAs promotes replication of the double-stranded RNA genome segments.

Authors:  M Alejandra Tortorici; Bruce A Shapiro; John T Patton
Journal:  RNA       Date:  2005-11-21       Impact factor: 4.942

5.  The role of a metastable RNA secondary structure in hepatitis delta virus genotype III RNA editing.

Authors:  Sarah D Linnstaedt; Wojciech K Kasprzak; Bruce A Shapiro; John L Casey
Journal:  RNA       Date:  2006-06-21       Impact factor: 4.942

6.  The fraction of RNA that folds into the correct branched secondary structure determines hepatitis delta virus type 3 RNA editing levels.

Authors:  Sarah D Linnstaedt; Wojciech K Kasprzak; Bruce A Shapiro; John L Casey
Journal:  RNA       Date:  2009-04-21       Impact factor: 4.942

7.  RNA2D3D: a program for generating, viewing, and comparing 3-dimensional models of RNA.

Authors:  Hugo M Martinez; Jacob V Maizel; Bruce A Shapiro
Journal:  J Biomol Struct Dyn       Date:  2008-06

8.  Structural domains within the 3' untranslated region of Turnip crinkle virus.

Authors:  John C McCormack; Xuefeng Yuan; Yaroslava G Yingling; Wojciech Kasprzak; Rodolfo E Zamora; Bruce A Shapiro; Anne E Simon
Journal:  J Virol       Date:  2008-06-25       Impact factor: 5.103

9.  Structural polymorphism of the HIV-1 leader region explored by computational methods.

Authors:  Wojciech Kasprzak; Eckart Bindewald; Bruce A Shapiro
Journal:  Nucleic Acids Res       Date:  2005-12-20       Impact factor: 16.971

10.  An intergenic non-coding rRNA correlated with expression of the rRNA and frequency of an rRNA single nucleotide polymorphism in lung cancer cells.

Authors:  Yih-Horng Shiao; Sorin T Lupascu; Yuhan D Gu; Wojciech Kasprzak; Christopher J Hwang; Janet R Fields; Robert M Leighty; Octavio Quiñones; Bruce A Shapiro; W Gregory Alvord; Lucy M Anderson
Journal:  PLoS One       Date:  2009-10-19       Impact factor: 3.240

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