A new entropy model for RNA: part IV, The Minimum Free Energy (mFE) and the thermodynamically most-probable folding pathway (TMPFP)

Submitted: 30 May 2011
Accepted: 3 April 2012
Published: 13 July 2015
Abstract Views: 1523
PDF: 789
Supplement S2: Methods: the vsfold5 algorithm: 0
Prediction of RNA Pseudoknots Using Heuristic Modeling with Mapping and Sequential Folding: 0
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Here we discuss four important questions (1) how can we be sure that the thermodynamically most-probable folding-pathway yields the minimum free energy for secondary structure using the dynamic programming algorithm (DPA) approach, (2) what are its limitations, (3) how can we extend the DPA to find the minimum free energy with pseudoknots, and finally (4) what limitations can we expect to find in a DPA approach for pseudoknots. It is our supposition that some structures cannot be fit uniquely by the DPA, but may exist in real biology situations when disordered regions in the biomolecule are necessary. These regions would be identifiable by using suboptimal structure analysis. This grants us some qualitative tools to identify truly random RNA sequences, because such are likely to have greater degeneracy in their thermodynamically most-probable folding-pathway.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Supporting Agencies

Japan International Science and Technology Exchange Center (JISTEC) and Ministry of Education, Culture, Sports, Science and Technology (MEXT)

How to Cite

Dawson, W., & Kawai, G. (2015). A new entropy model for RNA: part IV, The Minimum Free Energy (mFE) and the thermodynamically most-probable folding pathway (TMPFP). Journal of Nucleic Acids Investigation, 5(1). https://doi.org/10.4081/jnai.2015.2653