## Welcome to the Maximum expected accurate structural neighbors of an RNA secondary structure webserver !

`RNAborMEA` computes a *maximum expected accuracy*
analogue Z(δ) of the Boltzmann partition function, called the
*pseudo* Boltzmann partition function, as well as the
*maximum expected accuracy* structures MEA(δ) for a given RNA
sequence.
Here, a structure T is a δ-neighbor of a given structure
S, if S can be transformed into T by a minimum number δ of edit
operations, where an edit operation consists of removing or adding a single
base pair (i.e. if the base pair distance between S and T is δ).
Since it has been shown that the *maximum expected accuracy* structure
is often closer to the native structure than is the minimum free energy
structure, our work permits one to determine those structures which have
maximum expected accuracy, when compared with all structural neighbors
within distance δ.
Better candidates for the difficult-to-predict gene-ON structure of purine
riboswitches are found using `RNAborMEA` than all current software
to generate suboptimal structures.

If you use

`RNAborMEA`in your work, please consider citing the papers:

Peter Clote, Feng Lou, William A. Lorenz.and

Maximum expected accuracy structural neighbors of an RNA secondary structure.

BMC Bioinformatics BMC Bioinformatics. 2012 Apr 12;13 Suppl 5:S.

Feng Lou and Peter Clote. Maximum expected accurate structural neighbors of an RNA secondary structure. Proceedings of 1st IEEE International Conference on Computational Advances in Bio and medical Sciences (ICCABS), Feb 3-5, 2011, 123-128, Orlando, FL, ISBN 978-1-61284-851-8, doi 10.1109/ICCABS.2011.5729865.