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Statistics of RNA secondary structures
 Author:
 Fontana, W., Konings, D.A.M., Stadler, P.F., Schuster, P.
 Source:
 Biopolymers 1993 v.33 no.9 pp. 13891404
 ISSN:
 00063525
 Subject:
 RNA, molecular conformation, nucleotide sequences, genetic code, statistical analysis, algorithms, probability analysis
 Abstract:
 A statistical reference for RNA secondary structures with minimum free energies is computed by folding large ensembles of random RNA sequences. Four nucleotide alphabets are used: two binary alphabets, AU and GC, the biophysical AUGC and the synthetic GCXK alphabet. RNA secondary structures are made of structural elements, such as stacks, loops, joints, and free ends. Statistical properties of these elements are computed for small RNA molecules of chain lengths up to 100. The results of RNA structure statistics depend strongly on the particular alphabet chosen. The statistical reference is compared with the data derived from natural RNA molecules with similar base frequencies. Secondary structures are represented as trees. Tree editing provides a quantitative measure for the distance d(t), between two structures. We compute a structure density surface as the conditional probability of two structures having distance t given that their sequences have distance h. This surface indicates that the vast majority of possible minimum free energy secondary structures occur within a fairly small neighborhood of any typical (random) sequence. Correlation lengths for secondary structures in their tree representations are computed from probability densities. They are appropriate measures for the complexity of the sequencestructure relation. The correlation length also provides a quantitative estimate for the mean sensitivity of structures to point mutations.
 Agid:
 1462727

http://dx.doi.org/10.1002/bip.360330909