Emergent properties of networks of biological signaling pathways (Bhalla, Iyengar 1999)


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Accession:18871
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. 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.
Reference:
1 . Bhalla US, Iyengar R (1999) Emergent properties of networks of biological signaling pathways. Science 283:381-7 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Molecular Network;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA1 pyramidal cell;
Channel(s): I Calcium;
Gap Junctions:
Receptor(s): AMPA; NMDA; mGluR;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: GENESIS (web link to model);
Model Concept(s): Temporal Pattern Generation; Detailed Neuronal Models; Short-term Synaptic Plasticity; Signaling pathways;
Implementer(s): Bhalla, Upinder S [bhalla at ncbs.res.in];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell; AMPA; NMDA; mGluR; I Calcium; Glutamate;
(located via links below)
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