Journal
IEEE TRANSACTIONS ON NANOBIOSCIENCE
Volume 3, Issue 3, Pages 172-179Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNB.2004.833688
Keywords
cell cycle regulation; mathematical modeling; regulatory networks; systems biology
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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.
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