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...
Main Authors: | Machado, Daniel, Costa, Rafael S., Rocha, Isabel, Tidor, Bruce, Ferreira, Eugenio C. |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Elsevier
2016
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Online Access: | http://hdl.handle.net/1721.1/101078 https://orcid.org/0000-0002-3320-3969 |
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