Cross Disease Network Analysis

摘要: Diseases are caused by the deregulation of cellular networks, leading to faulty physiological functions. Different diseases can have common deregulated molecular pathways, particularly if they partially share phenotypes. These commonalities frequently represented as an overlap disease-related subnetworks. The discovery overlaps and thus genes simultaneously associated with multiple shed light on pathomechanisms provide new polyvalent therapeutic targets.This work builds upon a previously developed double specific-betweenness (S2B) network-based method, prioritize proteins higher probability being two phenotypically similar diseases. This method was designed use undirected networks protein physical interactions.The present aims expand S2B enabling analysis directed interactions, such signaling transcriptional regulatory providing information contributing richer mechanistic hypothesis explain deficiencies. extended version tested artificial disease modules, which enabled test ability predict between As in S2B, this novel applied pair motor neuron - Amyotrophic Lateral Sclerosis (ALS) Spinal Muscular Atrophy (SMA) demonstrating once again its potential bring insights into pathological mechanisms particularly, retrieve disturbance involved degeneration.