In 1971, first estimation of the energy associated with regions of secondary structure by extrapolation from studies with small molecules was done and then an attempt was made to predict which configurations of larger molecules were the most energetically stable.

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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