Abstract
Almost all proteomic signaling networks in prokaryotes and eukaryotes are based on the simple phosphorylation / dephosporylation cycle; from this simple unit it is possible to construct a huge variety of control and computational circuits, both analog and digital. With the characterization of many signaling networks, researchers are turning to address the question of how a particular physiological response can be understood in terms of the proteins that make up the network; this is one of the central questions in “Systems Biology”. In this article I wish to summarize the great versatility of the basic protein cycle as a means to construct complex functional behaviors including the central role that feedback plays in determining the properties of protein based networks.
Keywords: Proteomic Signaling, prokaryotes, eukaryotes
Current Proteomics
Title: The Computational Versatility of Proteomic Signaling Networks
Volume: 1 Issue: 1
Author(s): Herbert M. Sauro
Affiliation:
Keywords: Proteomic Signaling, prokaryotes, eukaryotes
Abstract: Almost all proteomic signaling networks in prokaryotes and eukaryotes are based on the simple phosphorylation / dephosporylation cycle; from this simple unit it is possible to construct a huge variety of control and computational circuits, both analog and digital. With the characterization of many signaling networks, researchers are turning to address the question of how a particular physiological response can be understood in terms of the proteins that make up the network; this is one of the central questions in “Systems Biology”. In this article I wish to summarize the great versatility of the basic protein cycle as a means to construct complex functional behaviors including the central role that feedback plays in determining the properties of protein based networks.
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Cite this article as:
Sauro M. Herbert, The Computational Versatility of Proteomic Signaling Networks, Current Proteomics 2004; 1 (1) . https://dx.doi.org/10.2174/1570164043488315
DOI https://dx.doi.org/10.2174/1570164043488315 |
Print ISSN 1570-1646 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6247 |
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