title: Crosstalk between pathways enhances the controllability of signalling networks.
abstract: The control of complex networks is one of the most challenging problems in the fields of biology and engineering. In this study, the authors explored the controllability and control energy of several signalling networks, which consisted of many interconnected pathways, including networks with a bow-tie architecture. On the basis of the theory of structure controllability, they revealed that biological mechanisms, such as cross-pathway interactions, compartmentalisation and so on make the networks easier to fully control. Furthermore, using numerical simulations for two realistic examples, they demonstrated that the control energy of normal networks with crosstalk is lower than in networks without crosstalk. These results indicate that the biological networks are optimally designed to achieve their normal functions from the viewpoint of the control theory. The authors' work provides a comprehensive understanding of the impact of network structures and properties on controllability.
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Wuhan 430072, People's Republic of China.
authors.forename: Dingjie
authors.initials: D
authors.lastname: Wang
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Wuhan 430072, People's Republic of China.
authors.forename: Suoqin
authors.initials: S
authors.lastname: Jin
authors.affiliation: School of Mathematics and Statistics, Wuhan University, Wuhan 430072, People's Republic of China. xfzou@whu.edu.cn.
authors.forename: Xiufen
authors.initials: X
authors.lastname: Zou
mesh_terms: D000465:Algorithms; D008954:Models, Biological; D015398:Signal Transduction; D049490:Systems Biology / Q000379:methods*
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