Boolean Models of Biological Processes Explain Cascade-Like Behavior.

Abstract:

:Biological networks play a key role in determining biological function and therefore, an understanding of their structure and dynamics is of central interest in systems biology. In Boolean models of such networks, the status of each molecule is either "on" or "off" and along with the molecules interact with each other, their individual status changes from "on" to "off" or vice-versa and the system of molecules in the network collectively go through a sequence of changes in state. This sequence of changes is termed a biological process. In this paper, we examine the common perception that events in biomolecular networks occur sequentially, in a cascade-like manner, and ask whether this is likely to be an inherent property. In further investigations of the budding and fission yeast cell-cycle, we identify two generic dynamical rules. A Boolean system that complies with these rules will automatically have a certain robustness. By considering the biological requirements in robustness and designability, we show that those Boolean dynamical systems, compared to an arbitrary dynamical system, statistically present the characteristics of cascadeness and sequentiality, as observed in the budding and fission yeast cell- cycle. These results suggest that cascade-like behavior might be an intrinsic property of biological processes.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Chen H,Wang G,Simha R,Du C,Zeng C

doi

10.1038/srep20067

subject

Has Abstract

pub_date

2016-01-29 00:00:00

pages

20067

issn

2045-2322

pii

srep20067

journal_volume

7

pub_type

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