Review Article
Which Metabolic Pathways Generate and Characterize the Flux Space? A Comparison among Elementary Modes, Extreme Pathways and Minimal Generators
Table 1
Applications of network-based pathways analysis. Partially extracted from [
4–
6].
| Applications | References |
| Identification of pathways | [7, 8] | Determination of minimal medium requirements | [9] | Analysis of pathway redundancy and robustness | [10–12] |
| Linkage between structure and regulation… | | Correlated reactions (enzyme subsets) | [11, 13] | Detect excluding reaction pairs | [4] | Prediction of transcription ratios | [10, 14] | Include regulatory rules | [15] |
| Support for metabolic engineering… | | Identification of pathways with optimal yields | [8] | Evaluation of effect of addition/deletion of genes | [16] | Inference of viability of mutants | [10, 17] | Detection of minimal cut sets | [18] | Suggest operations to increase product yield | [19] |
| Translation of a flux distribution into pathways activities… | | Particular solution methods | [20, 21] | Alpha-spectrum | [22, 23] |
| Aid in the reconstruction of metabolic reaction networks… | | Assignment of function to orphan genes | [24] | Detection of infeasible circles | [12, 25] | Detection of network dead ends | [9, 26, 27] | Support in the reconstruction of metabolic maps | [28] |
| Development of reduced, kinetic models | [29–31] |
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