PilNPilO
PilNPilO is a novel computational method designed for the analysis of protein-protein interaction (PPI) networks. It aims to identify functionally important modules or complexes within these networks by leveraging both topological information and sequence-based features of the proteins involved. The method employs a strategy that iteratively refines candidate modules based on connectivity patterns and evolutionary conservation scores.
The core of PilNPilO's approach involves assigning weights to edges in the PPI network. These weights are
PilNPilO then uses a greedy clustering algorithm to identify dense subgraphs within the weighted network. These
The method has been evaluated on several benchmark PPI datasets and has demonstrated its ability to identify