An algorithm utilizing structure mapping and thermodynamics is introduced for RNA pseudoknot prediction. The method finds the minimum free energy in the context of the biological folding direction (5’ to 3’) of RNA sequences.
It also identifies information about the flexibility of the RNA. Mapping methods are used to build and analyze the folded structure and add important 3D structural considerations. The model suggests that many biological RNA molecules are optimized by natural selection to fold correctly in the natural context and that stable intermediate RNA secondary structure can persist that anticipates pseudoknot formation.
The model will be published in the online, open-access journal PLoS ONE on September 19.
Disclaimer
The following press release refers to an upcoming article in PLoS ONE. The release has been provided by the article authors and/or their institutions. Any opinions expressed in this are the personal views of the contributors, and do not necessarily represent the views or policies of PLoS. PLoS expressly disclaims any and all warranties and liability in connection with the information found in the release and article and your use of such information.
Citation: Dawson WK, Fujiwara K, Kawai G (2007) Prediction of RNA Pseudoknots Using Heuristic Modeling with Mapping and Sequential Folding. PLoS ONE 2(9): e905. doi:10.1371/journal.pone.0000905
PLEASE ADD THE LINK TO THE PUBLISHED ARTICLE IN ONLINE VERSIONS OF YOUR REPORT (URL live from September 19): http://www.plosone.org/doi/pone.0000905
PRESS ONLY PREVIEW: http://www.plos.org/press/pone-02-09-dawson.pdf
Journal
PLoS ONE