In addition, our program also enables researchers to easily use the non-covalent interaction data as inputs to the many available graph theory-based approaches to describe protein interaction networks. As some examples, graph theory methods such as Weighted Implementation of Suboptimal Paths (WISP), community network analysis (CNA), shortest path map (SPM) and Ohm have been extensively used to study protein interaction networks and allostery, among other approaches. These methods work by describing proteins/biomolecular systems as a network, with residues being the nodes in the network and the connections between the nodes being generated by physical descriptors, with the descriptor most commonly used being the correlation between the Cα or Cβ distances of each residue.