Abstract
In this paper we present a new method for predicting a set of RNA secondary structures that are thermodynamically favored in RNA folding simulations. This method uses a large number of 'simulated energy rules' (SER) generated by perturbing the free energy parameters derived experimentally within the range of the experimental errors. The structure with the lowest free energy is computed for each SER. Structural comparisons are used to avoid multiple generation of similar structures. Computed structures are evaluated using the energy distribution of the lowest free energy structures derived in the simulation. Predicted be graphically displayed with their occurring frequencies in the simulation by dot-plot representations. On average, about 90% of phylogenetic helixes in the known models of tRNA, Group I self-splicing intron, and Escherichia coli 16 S rRNA, were predicted using the method.
MeSH Terms
Algorithms
Animals
Bombyx/genetics
Computer Simulation
Escherichia coli/genetics
Nucleic Acid Conformation
RNA/chemistry
RNA, Bacterial/chemistry
RNA, Protozoan/chemistry
Tetrahymena thermophila/genetics
Thermodynamics
Chemicals
RNA, Bacterial
RNA, Protozoan
RNA
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Le S Y
Laboratory of Mathematical Biology, National Cancer Institute, NIH, Frederick, MD 21702.
Chen J H
Maizel J V
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