Dataset Information

Thermodynamic characterization of RNA triloops.

ABSTRACT: Relatively few thermodynamic parameters are available for RNA triloops. Therefore, 24 stem-loop sequences containing naturally occurring triloops were optically melted, and the thermodynamic parameters ?H°, ?S°, ?G°(37), and T(M) for each stem-loop were determined. These new experimental values, on average, are 0.5 kcal/mol different from the values predicted for these triloops using the model proposed by Mathews et al. [Mathews, D. H., Disney, M. D., Childs, J. L., Schroeder, S. J., Zuker, M., and Turner, D. H. (2004) Proc. Natl. Acad. Sci. U.S.A. 101, 7287-7292]. The data for the 24 triloops reported here were then combined with the data for five triloops that were published previously. A new model was derived to predict the free energy contribution of previously unmeasured triloops. The average absolute difference between the measured values and the values predicted using this proposed model is 0.3 kcal/mol. These new experimental data and updated predictive model allow for more accurate calculations of the free energy of RNA stem-loops containing triloops and, furthermore, should allow for improved prediction of secondary structure from sequence.

SUBMITTER: Thulasi P

PROVIDER: S-EPMC2966716 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature

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Thermodynamic characterization of RNA triloops.

Thulasi Praneetha P Pandya Lopa K LK Znosko Brent M BM

Biochemistry 20101001 42

Relatively few thermodynamic parameters are available for RNA triloops. Therefore, 24 stem-loop sequences containing naturally occurring triloops were optically melted, and the thermodynamic parameters ΔH°, ΔS°, ΔG°(37), and T(M) for each stem-loop were determined. These new experimental values, on average, are 0.5 kcal/mol different from the values predicted for these triloops using the model proposed by Mathews et al. [Mathews, D. H., Disney, M. D., Childs, J. L., Schroeder, S. J., Zuker, M., ...[more]

PMID: 20843054

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Project description:Conformational entropy for atomic-level, three dimensional biomolecules is known experimentally to play an important role in protein-ligand discrimination, yet reliable computation of entropy remains a difficult problem. Here we describe the first two accurate and efficient algorithms to compute the conformational entropy for RNA secondary structures, with respect to the Turner energy model, where free energy parameters are determined from UV absorption experiments. An algorithm to compute the derivational entropy for RNA secondary structures had previously been introduced, using stochastic context free grammars (SCFGs). However, the numerical value of derivational entropy depends heavily on the chosen context free grammar and on the training set used to estimate rule probabilities. Using data from the Rfam database, we determine that both of our thermodynamic methods, which agree in numerical value, are substantially faster than the SCFG method. Thermodynamic structural entropy is much smaller than derivational entropy, and the correlation between length-normalized thermodynamic entropy and derivational entropy is moderately weak to poor. In applications, we plot the structural entropy as a function of temperature for known thermoswitches, such as the repression of heat shock gene expression (ROSE) element, we determine that the correlation between hammerhead ribozyme cleavage activity and total free energy is improved by including an additional free energy term arising from conformational entropy, and we plot the structural entropy of windows of the HIV-1 genome. Our software RNAentropy can compute structural entropy for any user-specified temperature, and supports both the Turner'99 and Turner'04 energy parameters. It follows that RNAentropy is state-of-the-art software to compute RNA secondary structure conformational entropy. Source code is available at https://github.com/clotelab/RNAentropy/; a full web server is available at http://bioinformatics.bc.edu/clotelab/RNAentropy, including source code and ancillary programs.

Dataset Information

Thermodynamic characterization of RNA triloops.

Publications

Thermodynamic characterization of RNA triloops.

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