title: Architecture-dependent robustness in a class of multiple positive feedback loops.
abstract: Many types of multiple positive feedbacks with each having potentials to generate bistability exist extensively in natural, raising the question of why a particular architecture is present in a cell. In this study, the authors investigate multiple positive feedback loops across three classes: one-loop class, two-loop class and three-loop class, where each class is composed of double positive feedback loop (DPFL) or double negative feedback loop (DNFL) or both. Through large-scale sampling and robustness analysis, the authors find that for a given class, the homogeneous DPFL circuit (i.e. the coupled circuit that is composed of only DPFLs) is more robust than all the other circuits in generating bistable behaviour. In addition, stochastic simulation shows that the low stable state is more robust than the high stable state in homogeneous DPFL whereas the high-stable state is more robust than the low-stable state in homogeneous DNFL circuits. It was argued that this investigation provides insight into the relationship between robustness and network architecture.
authors.affiliation: School of Mathematics and Computational Science and Guangdong Province Key Laboratory of Computational Science, Sun Yat-Sen University, Guangzhou 510275, People's Republic China.
authors.forename: Changhong
authors.initials: C
authors.lastname: Shi
authors.forename: Han-Xiong
authors.initials: HX
authors.lastname: Li
authors.forename: Tianshou
authors.initials: T
authors.lastname: Zhou
mesh_terms: D003198:Computer Simulation; D025461:Feedback, Physiological / Q000502:physiology*; D053858:Metabolic Networks and Pathways / Q000502:physiology*; D008954:Models, Biological; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D020543:Proteome