<p><span style=\"font-family: \'Times New Roman\',\'serif\'; font-size: 12pt;\">Many numbers of software applications (GUIs) are available for the single stranded nucleic acid secondary structure prediction-like Mfold, CONTRAfold,IPknot,CompaRNA, CentroidAlifold,etc. Some are based on Minimum Free Energy models (MFE) and others on stochastic context-free grammars (SCFGs), emerged as an alternative probabilistic methodology for modelling RNA structure. . Unlike physics-based methods, which rely on thousands of experimentally-measured thermodynamic parameters, SCFGs use fully-automated statistical learning algorithms to derive model parameters. The performance of 10 single-sequences from a numerous RNA sequences with respective methods were being evaluated. On the whole the most accurate &amp; stable predictions obtained by single-sequence analyses are generated by CentroidFold, ContextFold, IPknot and COFOLD.</span></p>
 