## Abstract In this article, we propose a relatively similar measure to compare RNA secondary structures. We first transform an RNA secondary structure into a special sequence representation. Then, on the basis of symbolic sequence complexity, we obtain the relative distance of RNA secondary struct
Complete suboptimal folding of RNA and the stability of secondary structures
β Scribed by Stefan Wuchty; Walter Fontana; Ivo L. Hofacker; Peter Schuster
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 1999
- Tongue
- English
- Weight
- 317 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0006-3525
No coin nor oath required. For personal study only.
β¦ Synopsis
An algorithm is presented for generating rigorously all suboptimal secondary structures between the minimum free energy and an arbitrary upper limit. The algorithm is particularly fast in the vicinity of the minimum free energy. This enables the efficient approximation of statistical quantities, such as the partition function or measures for structural diversity. The density of states at low energies and its associated structures are crucial in assessing from a thermodynamic point of view how well-defined the ground state is. We demonstrate this by exploring the role of base modification in tRNA secondary structures, both at the level of individual sequences from Escherichia coli and by comparing artificially generated ensembles of modified and unmodified sequences with the same tRNA structure. The two major conclusions are that (1) base modification considerably sharpens the definition of the ground state structure by constraining energetically adjacent structures to be similar to the ground state, and (2) sequences whose ground state structure is thermodynamically well defined show a significant tendency to buffer single point mutations. This can have evolutionary implications, since selection pressure to improve the definition of ground states with biological function may result in increased neutrality.
π SIMILAR VOLUMES
The thermodynamics of RNA secondary structure formation in small model systems provides a database for predicting RNA structure from sequence. Methods for making these measurements are reviewed with emphasis on optical methods and treatment of experimental errors. Analysis of experimental results in