RCPred: RNA Complex Prediction
RCPred is a tool for secondary structure prediction of RNA complexes.
RCPred handle the prediction of pseudoknots, crossing interactions and zig-zags.
It returns several sub-optimal secondary structures.
It takes as inputs several possible secondary structures for each RNA strand involved in the complex and several possible interactions for each pair of RNAs.
RCPred is based on a constrained maximum weight clique graph problem. The principal idea is to find the best combinations of the inputs forming cliques that can be derived into secondary structures of a complex.
The sources of RCPred (tested on ubuntu), supplementary data and the dataset are downloadable.