Many computational methods for RNA secondary structure prediction, and, in particular, for the prediction of a consensus structure of an alignment of RNA sequences, have been developed. Most methods, however, ignore biophysical factors, such as the kinetics of RNA folding, no current implementation considers both evolutionary information and folding kinetics, thus losing information that, when considered, might lead to better predictions.