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For the FE model, we detect no relationship.
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After applying the constraint-based modeling method to our model, we detected a set of 267 metabolites whose concentrations are predicted to be either elevated or reduced due to 50 possible dysfunctional genes (see Table S1) [ 34].
Furthermore, as predicted by the model, we detected movement of the unrelated DNA inverted repeat from its initial position to secondary locations.
This issue did not appear to be a limitation in mice, because in some of the models we were able to detect tumors as small as 4 5 mm in diameter (50 mm3) and in another model we detected microscopic tumor burden.
Using in vitro biofilm model, we detected upregulations of virulence and biofilm related genes.
In our model, we detected marked alteration of both these proteins.
With this model, we detected 37, 3, and 14 associations with FW, LCN, and SSC, respectively.
For the second reduced model, we detected some minor changes in the predictions.
Using the rat OM model, we detected significantly low recovery of pneumococci in rat bulla treated with sinefungin.
In our 3D model, we detected lysosomal cell death and cathepsin D release after 20 days of GA101 treatment.
Under the M0 model, we detected strong evidence of positive selection (1.48≤ ω≤999.00) for the 3FTx, LCN, and PLA2 toxin families.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com