Assessing the accuracy of direct-coupling analysis for RNA contact prediction

(Downloading may take up to 30 seconds. If the slide opens in your browser, select File -> Save As to save it.)

Click on image to view larger version.

FIGURE 2.
FIGURE 2.

Capability of the inferred couplings to reproduce frequencies using different methods (Boltzmann learning, pseudolikelihood, and mean-field DCA). The validation is done running a parallel MC simulation on 20 sequences and calculating the root-mean-square deviation (RMSD) between the obtained frequencies and the empirical ones. We report a positive control (statistical error due to the finite number of sequence), a negative control (RMSD between empirical sequences and a random sequence), and the RMSD from the ensemble of the 20 sequences used as a starting point of Boltzmann learning simulations. Families are labeled using the PDB code of the representative crystallographic structure. Average RMSD is also reported.

This Article

  1. RNA 26: 637-647