A Review of Dynamic Modeling Approaches and Their Application in Computational Strain Optimization for Metabolic Engineering

@article{Kim2018ARO,
  title={A Review of Dynamic Modeling Approaches and Their Application in Computational Strain Optimization for Metabolic Engineering},
  author={Osvaldo D. Kim and Miguel Rocha and Paulo Maia},
  journal={Frontiers in Microbiology},
  year={2018},
  volume={9}
}
Mathematical modeling is a key process to describe the behavior of biological networks. One of the most difficult challenges is to build models that allow quantitative predictions of the cells' states along time. Recently, this issue started to be tackled through novel in silico approaches, such as the reconstruction of dynamic models, the use of phenotype prediction methods, and pathway design via efficient strain optimization algorithms. The use of dynamic models, which include detailed… 

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