title: Prediction of alternative RNA secondary structures based on fluctuating thermodynamic parameters.
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.
authors.affiliation: Laboratory of Mathematical Biology, National Cancer Institute, NIH, Frederick, MD 21702.
authors.forename: S Y
authors.initials: SY
authors.lastname: Le
authors.forename: J H
authors.initials: JH
authors.lastname: Chen
authors.forename: J V
authors.initials: JV
authors.lastname: Maizel
mesh_terms: D000465:Algorithms; D000818:Animals; D012831:Bombyx / Q000235:genetics; D003198:Computer Simulation; D004926:Escherichia coli / Q000235:genetics; D009690:Nucleic Acid Conformation; D012313:RNA / Q000737:chemistry*; D012329:RNA, Bacterial / Q000737:chemistry; D016053:RNA, Protozoan / Q000737:chemistry; D016808:Tetrahymena thermophila / Q000235:genetics; D013816:Thermodynamics
chemical_list: D012329:RNA, Bacterial; D016053:RNA, Protozoan; D012313:RNA