The use of SCFGs in RNA secondary structure production analysis is in fact very similar to that of the covariance model, with the grammatical productions resembling the nodes in the ordered binary tree.

RNA structure prediction is a method that aims to predict the base-pairing structure of a given RNA sequence. The most common approach for predicting RNA secondary structures is based on thermodynamic models. These models decompose a secondary structure into substructures, called nearest-neighbor loops. Topics include: Types of RNA Structures, RNA Secondary Structure Prediction Methods, Ab Initio Approach, Comparative Approach, Performance Evaluation, Limitations of Prediction, Minimum Free – Energy Method & Stochastic Context – Free Grammars, MFOLD and the Use of Energy... Show more

RNA structure prediction is a method that aims to predict the base-pairing structure of a given RNA sequence. The most common approach for predicting RNA secondary structures is based on thermodynamic models. These models decompose a secondary structure into substructures, called nearest-neighbor loops.

Topics include: Types of RNA Structures, RNA Secondary Structure Prediction Methods, Ab Initio Approach, Comparative Approach, Performance Evaluation, Limitations of Prediction, Minimum Free – Energy Method & Stochastic Context – Free Grammars, MFOLD and the Use of Energy Plot, & Searching Genomes for RNA & RNA Structure Modeling Applications.

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