Dynamic protein-protein interaction networks and the detection of protein complexes : an overview

Developing computational approaches for the detection of protein complexes in protein-protein interaction networks continues to be an evolving area of research. These approaches seek to complement the experimental methods which are usually expensive in terms of time and cost. A protein-protein interaction dataset is typically modeled as a static network whose vertices and edges respectively represent all the proteins and their interconnections. Despite the agreeable accuracies attained by various computational methods when applied on such networks, their additional improvements seem to face some limitations. It is believed that the more enrichment with biological information is added to the interaction networks and complex-detection algorithms, the better will be the overall quality of the results. In this paper, we stress on the importance of reflecting the dynamic nature of protein interaction networks as a primary enhancement phase and we highlight possible aspects by which it could be acquired.