Prediction of Scaffold Proteins based on Protein Interaction and Domain Architectures

Motivation: Scaffold proteins are known as crucial regulators of various cellular functions by assembling multiple proteins involved in signaling and metabolic pathways. Identification of scaffold proteins and the study of their molecular mechanisms can open a new aspect of cellular systemic regulation and the resulting application on medicine and engineering. There have been highlighted the regulatory roles of dozens of scaffold proteins, but just one computational approach tried to find scaffold proteins from interactomes until now. However, there was a limitation to find diverse types of scaffold proteins because their criteria were restricted to the classical scaffold proteins.