Assessing FBA Optimal States in the Feasible Flux Phenotypic Space
Optimal growth solutions can be confronted with the whole set of feasible flux phenotypes (FFP), which provides a reference map that helps to assess the likelihood of optimal and high-growth states and their extent of conformity with experimental results. In addition, FFP maps are able to uncover me...
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          | Published in | A Network-Based Approach to Cell Metabolism pp. 115 - 129 | 
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| Main Author | |
| Format | Book Chapter | 
| Language | English | 
| Published | 
        Switzerland
          Springer International Publishing AG
    
        2017
     Springer International Publishing  | 
| Series | Springer Theses | 
| Subjects | |
| Online Access | Get full text | 
| ISBN | 9783319639994 3319639994  | 
| ISSN | 2190-5053 2190-5061  | 
| DOI | 10.1007/978-3-319-64000-6_6 | 
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| Summary: | Optimal growth solutions can be confronted with the whole set of feasible flux phenotypes (FFP), which provides a reference map that helps to assess the likelihood of optimal and high-growth states and their extent of conformity with experimental results. In addition, FFP maps are able to uncover metabolic behaviours that are unreachable using models based on optimality principles. The information content of the full FFP space of metabolic states provides with an entire map to explore and evaluate metabolic behaviour and capabilities, opening new avenues for biotechnological and biomedical applications. | 
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| ISBN: | 9783319639994 3319639994  | 
| ISSN: | 2190-5053 2190-5061  | 
| DOI: | 10.1007/978-3-319-64000-6_6 |