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Linear motif-mediated interactions have contributed to the evolution of modularity in complex protein interaction networks.


ABSTRACT: The modular architecture of protein-protein interaction (PPI) networks is evident in diverse species with a wide range of complexity. However, the molecular components that lead to the evolution of modularity in PPI networks have not been clearly identified. Here, we show that weak domain-linear motif interactions (DLIs) are more likely to connect different biological modules than strong domain-domain interactions (DDIs). This molecular division of labor is essential for the evolution of modularity in the complex PPI networks of diverse eukaryotic species. In particular, DLIs may compensate for the reduction in module boundaries that originate from increased connections between different modules in complex PPI networks. In addition, we show that the identification of biological modules can be greatly improved by including molecular characteristics of protein interactions. Our findings suggest that transient interactions have played a unique role in shaping the architecture and modularity of biological networks over the course of evolution.

SUBMITTER: Kim I 

PROVIDER: S-EPMC4191887 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature

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Linear motif-mediated interactions have contributed to the evolution of modularity in complex protein interaction networks.

Kim Inhae I   Lee Heetak H   Han Seong Kyu SK   Kim Sanguk S  

PLoS computational biology 20141009 10


The modular architecture of protein-protein interaction (PPI) networks is evident in diverse species with a wide range of complexity. However, the molecular components that lead to the evolution of modularity in PPI networks have not been clearly identified. Here, we show that weak domain-linear motif interactions (DLIs) are more likely to connect different biological modules than strong domain-domain interactions (DDIs). This molecular division of labor is essential for the evolution of modular  ...[more]

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