Exploring the gap between dynamic and constraint-based models of metabolism

Exploring the gap between dynamic and constraint-based models of metabolism

Systems biology provides new approaches for metabolic engineering through the development of models and methods for simulation and optimization of microbial metabolism. Here we explore the relationship between two modeling frameworks in common use namely, dynamic models with kinetic rate laws and co...

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Bibliographic Details
Main Authors: Machado, Daniel (Author), Costa, Rafael S. (Author), Rocha, Isabel (Author), Tidor, Bruce (Contributor), Ferreira, Eugenio C. (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Elsevier, 2016-02-03T15:34:48Z.
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