Simplification of biochemical models: a general approach based on the analysis of the impact of individual species and reactions on the systems dynamics
Irina Surovtsova, Natalia Simus, Katrin Hübner, Sven Sahle, Ursula Kummer
Abstract
Given the complex mechanisms underlying biochemical processes systems biology researchers tend to build ever increasing computational models. However, dealing with complex systems entails a variety of problems, e.g. difficult intuitive understanding, variety of time scales or non-identifiable parameters. Therefore, methods are needed that, at least semi-automatically, help to elucidate how the complexity of a model can be reduced such that important behavior is maintained and the predictive capacity of the model is increased. The results should be easily accessible and interpretable. In the best case such methods may also provide insight into fundamental biochemical mechanisms.
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 March 2012.
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#16,580,596
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#607
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#106,758
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Outputs of similar age from BMC Systems Biology
#4
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