Computational prediction and analysis of protein-protein interaction networks

Biological networks provide insight into the complex organization of biological processes in a cell at the system level. They are an effective tool for understanding the comprehensive map of functional interactions, finding the functional modules and pathways. Reconstruction and comparative analysis of these networks provide useful information to identify functional modules, prioritization of disease causing genes and also identification of drug targets. The talk will consist of two parts. I will discuss several methods for proteinprotein interaction network alignment and investigate their preferences to other existing methods. Further, I briefly talk about reconstruction of protein-protein interaction networks by using deep learning.