Research Projects

Aligning PPI networks (PIN) of evolutionally related species enable to discover conserved PINs and sub-network modules/motifs. Very few methods are available for the simultaneous alignment of more than two PINs. Available methods are computationally expensive and do not guarantee optimal alignments in a single processor system. We propose to leverage Graph Neural Network (GNN) based framework to align multiple PINs. We propose to use the newly developed tool on many host-hepatotropic PINs to detect common sub-PINs representative of core host functions commonly targeted by pathogens. In the case of host-hepatotropic PINs, such conserved core components may relate to basic liver functions commonly targeted by multiple viruses. Hence, their discovery and analyses may enable us to design more effective therapeutic multi-viral drug targets. An effort will be made to prioritize suitable hepatotropic anti-viral drug targets.