79P Identification of disordered proteins as potential predictive biomarkers for cancer therapeutics based on network topology analysis

Abstract

Network topology is a common tool in systems biology. The focus of our work were disordered proteins whose importance in signaling have long been discussed. A good tool for studying these regulatory proteins is to study triangles i.e., three-nodal signaling motifs where each node is related to the other two, which infers a closer connection between the nodes. Our research shows that oncotherapeutical targets and disordered proteins often form three-nodal motifs together. Our aim was to analyse of these motifs for better understanding the complex relationship of these proteins with oncotherapeutical targets.