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Prediction of RNA secondary structure, including pseudoknotting, by computer simulation
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4531120
Author(s) Abrahams, Jan Pieter; Vandenberg, Mirjam; Van Batenburg, Eke; Pleij, Cornells
Author(s) at UniBasel Abrahams, Jan Pieter
Year 1990
Title Prediction of RNA secondary structure, including pseudoknotting, by computer simulation
Journal Nucleic Acids Research
Volume 18
Number 10
Pages / Article-Number 3035-44
Mesh terms Science & TechnologyLife Sciences & BiomedicineBiochemistry & Molecular BiologyBiochemistry & Molecular Biology
Abstract A computer program is presented which determines the secondary structure of linear RNA molecules by simulating a hypothetical process of folding. This process implies the concept of lsquo;nucleation centres‘, regions in RNA which locally trigger the folding. During the simulation, the RNA is allowed to fold into pseudoknotted structures, unlike all other programs predicting RNA secondary structure. The simulation uses published, experimentally determined free energy values for nearest neighbour base pair stackings and loop regions, except for new extrapolated values for loops larger than seven nucleotides. The free energy value for a loop arising from pseudoknot formation is set to a single, estimated value of 4.2 kcal/mole. Especially in the case of long RNA sequences, our program appears superior to other secondary structure predicting programs described so far, as tests on tRNAs, the LSU intron of Tetrahymena thermophlla and a number of plant viral RNAs show. In addition, pseudoknotted structures are often predicted successfully. The program is written in mainframe APL and is adapted to run on IBM compatible PCs, Atari ST and Macintosh personal computers. On an 8 MHz 8088 standard PC without coprocessor, using STSC APL, it folds a sequence of 700 nucleotides in one and a half hour.
Publisher Oxford University Press
ISSN/ISBN 0305-1048 ; 1362-4962
edoc-URL https://edoc.unibas.ch/76016/
Full Text on edoc No
Digital Object Identifier DOI 10.1093/nar/18.10.3035
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/1693421
ISI-Number 1990DG79700026
Document type (ISI) Journal Article
 
   

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