Emergent properties of networks of biological signaling pathways
Catherine
Lloyd
Auckland Bioengineering Institute, The University of Auckland
Model Status
This version of the model describes the complete network of signalling pathways in the original publication. This model is able to be solved but does not give the correct results as it is not connected to the other modules of the pathway. ValidateCellML verifies this model as valid CellML but detects unit inconsistencies.
Model Structure
ABSTRACT: Many distinct signaling pathways allow the cell to receive, process, and respond to information. Often, components of different pathways interact, resulting in signaling networks. Biochemical signaling networks were constructed with experimentally obtained constants and analyzed by computational methods to understand their role in complex biological processes. These networks exhibit emergent properties such as integration of signals across multiple time scales, generation of distinct outputs depending on input strength and duration, and self-sustaining feedback loops. Feedback can result in bistable behavior with discrete steady-state activities, well-defined input thresholds for transition between states and prolonged signal output, and signal modulation in response to transient stimuli. These properties of signaling networks raise the possibility that information for "learned behavior" of biological systems may be stored within intracellular biochemical reactions that comprise signaling pathways.
The original paper reference is cited below:
Emergent properties of networks of biological signaling pathways. Bhalla US, Iyengar R.
Science 1999 Jan 15; 283(5400); 381-7. PubMed ID: 9888852
model diagram
A rendering of the complete signalling network.
Matthew
McCormick
Complete network of the Bhalla-Iyengar model
1999-01-15
The University of Auckland
Auckland Bioengineering Institute
m.mccormick@auckland.ac.nz
Ravi
Iyengar
Emergent Properties of Networks of Biological Signaling Pathways
283
381
387
Science
Upinder
Bhalla
S
2007-08-27T00:00:00+00:00
keyword
signal_transduction
James
Lawson
Richard
9888852
updated curation status
2009-05-27T14:58:25+12:00