Prediction and visualization of structural switches in RNA

Giegerich R, Haase D, Rehmsmeier M (1999)
Pac Symp Biocomput.

Journal Article | Published | English

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Abstract
There are various cases where the biological function of an RNA molecule involves a reversible change of conformation. paRNAss is a software approach to the prediction of such structural switching in RNA. It is based on three hypotheses about the secondary structure space of a switching RNA molecule, which can be evaluated by RNA folding and structure comparison. In the positive case, the predicted structures must be verified experimentally. Additionally, we give an animated visualization of an energetically favourable transition between the predicted structures. paRNAss is available via the Bielefeld Bioinformatics Server. This paper explains the underlying model and shows that the approach performs well in a variety of applications.
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Giegerich R, Haase D, Rehmsmeier M. Prediction and visualization of structural switches in RNA. Pac Symp Biocomput. 1999.
Giegerich, R., Haase, D., & Rehmsmeier, M. (1999). Prediction and visualization of structural switches in RNA. Pac Symp Biocomput.
Giegerich, R., Haase, D., and Rehmsmeier, M. (1999). Prediction and visualization of structural switches in RNA. Pac Symp Biocomput.
Giegerich, R., Haase, D., & Rehmsmeier, M., 1999. Prediction and visualization of structural switches in RNA. Pac Symp Biocomput.
R. Giegerich, D. Haase, and M. Rehmsmeier, “Prediction and visualization of structural switches in RNA”, Pac Symp Biocomput, 1999.
Giegerich, R., Haase, D., Rehmsmeier, M.: Prediction and visualization of structural switches in RNA. Pac Symp Biocomput. (1999).
Giegerich, Robert, Haase, D., and Rehmsmeier, Marc. “Prediction and visualization of structural switches in RNA”. Pac Symp Biocomput (1999).
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Data provided by Europe PubMed Central.

Complete probabilistic analysis of RNA shapes.
Voss B, Giegerich R, Rehmsmeier M., BMC Biol. 4(), 2006
PMID: 16480488
A comprehensive comparison of comparative RNA structure prediction approaches.
Gardner PP, Giegerich R., BMC Bioinformatics 5(), 2004
PMID: 15458580

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