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Prediction of RNA secondary structure, including pseudoknotting, by computer simulation

Abrahams, Jan Pieter and Vandenberg, Mirjam and Van Batenburg, Eke and Pleij, Cornells. (1990) Prediction of RNA secondary structure, including pseudoknotting, by computer simulation. Nucleic Acids Research, 18 (10). pp. 3035-3044.

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Official URL: https://edoc.unibas.ch/76016/

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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.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Structural Biology & Biophysics > Nano-diffraction of Biological Specimen (Abrahams)
UniBasel Contributors:Abrahams, Jan Pieter
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
ISSN:0305-1048
e-ISSN:1362-4962
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:05 Nov 2020 14:05
Deposited On:05 Nov 2020 14:05

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