The increasing availability of large-scale protein-protein interaction data has made it
possible to understand the basic components and organization of cell machinery from the …

As advances in the technologies of predicting protein interactions, huge data sets portrayed
as networks have been available. Identification of functional modules from such networks is …

Abstract Motivation: Protein–Protein Interaction (PPI) networks are believed to be important
sources of information related to biological processes and complex metabolic functions of …

The analysis of protein-protein interactions is fundamental to the understanding of cellular
organization, processes, and functions. Recent large-scale investigations of protein-protein …

Background Protein complex identification from protein-protein interaction (PPI) networks is
crucial for understanding cellular organization principles and functional mechanisms. In …

Over the last decade, the development of high-throughput techniques has resulted in a rapid
accumulation of protein–protein interaction (PPI) data. However, the high-throughput …

Abstract Dense subgraphs of Protein-Protein Interaction (PPI) graphs are believed to be
potential functional modules and play an important role in inferring the functional behavior of …

It was demonstrated recently that the line graphs are clustered and assortative. These
topological features are known to characterize some social networks [MEJ Newman, Y. Park …

A novel technique to search for functional modules in a protein-protein interaction network is
presented. The network is represented by the adjacency matrix associated with the …

Abstract Background We introduce a Knowledge-based Decision Support System (KDSS) in
order to face the Protein Complex Extraction issue. Using a Knowledge Base (KB) coding …