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  Mathematical Modeling of Complex Regulatory Networks

Stelling, J., & Gilles, E. D. (2004). Mathematical Modeling of Complex Regulatory Networks. IEEE Transactions on Nanobioscience, 3(3), 172-179. doi:10.1109/TNB.2004.833688.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9E39-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-BCB7-B
Genre: Journal Article

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 Creators:
Stelling, J.1, Author              
Gilles, E. D.1, Author              
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              

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 Abstract: Cellular regulation comprises overwhelmingly complex interactions between genes and proteins that ultimately will only be rendered understandable by employing formal approaches. Developing large-scale mathematical models of such systems in an efficient and reliable way, however, requires careful evaluation of structuring principles for the models, of the description of the system dynamics, and of the experimental data basis for adjusting the models to reality. We discuss these three aspects of model development using the example of cell cycle regulation in yeast and suggest that capturing complex dynamic networks is feasible despite incomplete (quantitative) biological knowledge. © 2004 IEEE [accessed 2014 October 16]

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Language(s): eng - English
 Dates: 2004
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 207595
Other: 49/04
DOI: 10.1109/TNB.2004.833688
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Title: IEEE Transactions on Nanobioscience
Source Genre: Journal
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Pages: - Volume / Issue: 3 (3) Sequence Number: - Start / End Page: 172 - 179 Identifier: -