Prediction of protein-protein interaction (PPI) remains a central task in systems biology. With more PPIs identified, forming PPI networks, it has become feasible and also imperative to study PPIs at the network level, such as evolutionary analysis of the networks, for better understanding of PPI networks and for more accurate prediction of pairwise PPIs by leveraging the information gained at ...

The recent explosion of genomic-scale protein interaction screens has made it possible to study protein interactions on a level of interactome and networks. In this chapter, we begin with an introduction of a novel approach that probabilistically combines multiple information sources to predict protein interactions in yeast. Specifically, Section 5.2 describes the sources of genomic features. S...

MOTIVATION Set-based network similarity metrics are increasingly used to productively analyze genome-wide data. Conventional approaches, such as mean shortest path and clique-based metrics, have been useful but are not well suited to all applications. Computational scientists in other disciplines have developed communicability as a complementary metric. Network communicability considers all pat...

objective: druggability of a target protein depends on the interacting micro-environment between the target protein and drugs. therefore, a precise knowledge of the interacting micro-environment between the target protein and drugs is requisite for drug discovery process. to understand such micro-environment, we performed in silico interaction analysis between a human target protein, dipeptidyl...