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Metabolic models support the key capabilities of A. ferrooxidans that pertain to its use in industrial bioleaching, including its ability to oxidize both sulfur and iron, to resist low pH, and to live in environments with potentially toxic organic and inorganic chemicals.
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The web interface and the included version control system greatly facilitate the development of new metabolic models and support the study of existing one.
Current biochemical knowledge and the information collected from the annotation of genome sequencing projects allowed the development of genome-scale metabolic models (GSMMs), supporting the simulation of the metabolic phenotypes.
The genome sequence also helped in deriving metabolic models that supported metabolomics with HPLC-MS or GC-MS [ 31, 32] and fluxomics, a combination of C-tracer experiments, isotopomer modeling, and metabolite balancing [ 33, 34].
However, while these databases and web applications allow researchers to download and query metabolic models, none of them provides support for the laborious reconstruction process.
Genome-scale metabolic models (GEMs) can be used to support such a task since they can be used to assess metabolic capabilities of cells, to analyze metabolites connectivity and pathway redundancy, or for comparing metabolic capabilities between closely related species [ 21].
Predictions: CycSim supports in silico experiments with metabolic models.
We have therefore designed and implemented a bioinformatics platform which supports the development of such metabolic models.
MNXref is intended to support the development of genome-scale metabolic models by reducing the time required for costly manual curation of existing resources of metabolites and reactions.
Moreover, its specific focus lies on supporting the research and development of metabolic models opposed to the breadth of functionality provided by Pathway Tools.
Therefore, we have developed a new application combining all above mentioned functionalities to support research and development of genome-scale metabolic models.
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