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Algorithms and Thermodynamics in RNA Secondary Structure Prediction

This resource explores the Chou-Fasman propensities and algorithms used in RNA secondary structure prediction. It emphasizes the thermodynamic principles and methodologies relevant to predicting RNA configurations. The content includes links to software applications, including mfold, for practical RNA structure predictions. Furthermore, it highlights the significance of new folds and their implications in molecular biology. This comprehensive overview is essential for researchers working on RNA structure and function.

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Algorithms and Thermodynamics in RNA Secondary Structure Prediction

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  1. Chou-Fasman propensities (partial table) ab t

  2. Algorithms and Thermodynamics for RNA Secondary Structure Prediction: http://www.bioinfo.rpi.edu/applications/mfold/old/rna/form1.cgi http://www.bioinfo.rpi.edu/~zukerm/

  3. http://www.rcsb.org

  4. Proportion of new folds

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