Criticality Distinguishes the Ensemble of Biological Regulatory Networks
Title | Criticality Distinguishes the Ensemble of Biological Regulatory Networks |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Daniels, Bryan C., Hyunju Kim, Douglas Moore, Siyu Zhou, Harrison B. Smith, Bradley Karas, Stuart A. Kauffman, and Sara I. Walker |
Journal | Phys. Rev. Lett. |
Volume | 121 |
Issue | 13 |
Date Published | 09/28/2018 |
Abstract | The hypothesis that many living systems should exhibit near-critical behavior is well motivated theoretically, and an increasing number of cases have been demonstrated empirically. However, a systematic analysis across biological networks, which would enable identification of the network properties that drive criticality, has not yet been realized. Here, we provide a first comprehensive survey of criticality across a diverse sample of biological networks, leveraging a publicly available database of 67 Boolean models of regulatory circuits. We find all 67 networks to be near critical. By comparing to ensembles of random networks with similar topological and logical properties, we show that criticality in biological networks is not predictable solely from macroscale properties such as mean degree |
URL | https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.121.138102 |
DOI | 10.1103/PhysRevLett.121.138102 |