Interaction paths promote module integration and network-level robustness of spliceosome to cascading effects.

ABSTRACT: The functionality of distinct types of protein networks depends on the patterns of protein-protein interactions. A problem to solve is understanding the fragility of protein networks to predict system malfunctioning due to mutations and other errors. Spectral graph theory provides tools to understand the structural and dynamical properties of a system based on the mathematical properties of matrices associated with the networks. We combined two of such tools to explore the fragility to cascading effects of the network describing protein interactions within a key macromolecular complex, the spliceosome. Using S. cerevisiae as a model system we show that the spliceosome network has more indirect paths connecting proteins than random networks. Such multiplicity of paths may promote routes to

SUBMITTER: Guimaraes PR 

PROVIDER: S-EPMC6261937 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature