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The difference between these maximum production and consumption fluxes is a value that we term the maximum flux capacity (MFC).
It operates directly with reaction constraints setting the maximum flux capacity in accordance with the gene expression level.
We propose that decreases and increases in maximum flux capacity generally lead to corresponding decreases and increases in metabolite concentration respectively.
In Fig. 2a, we show z-scores of fold changes in predicted maximum flux capacity (MFC) resulting from the phoP knockout expression data.
E-Flux-MFC then calculates the difference between the maximum production flux and the maximum consumption flux in order to calculate a value that we call maximum flux capacity (MFC).
Here we have developed a method to predict changes in the accumulation and utilization of both extracellular and intracellular metabolites by relaxing the steady-state constraint for each of the metabolites in our model and then calculating the difference between the maximum production flux and the maximum consumption flux in order to calculate a value that we call maximum flux capacity (MFC).
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Distribution of maximum flux capacities for all model metabolites.
We generate a null distribution of maximum flux capacities by comparing 1000 sets of control channel samples.
The size of this space can be reduced by incorporating thermodynamic constraints associated with irreversible reactions, as well as flux capacity constraints, which limit the maximum flux through some or all reactions.
The space of allowable solutions can be reduced by incorporating thermodynamic constraints associated with irreversible reactions, as well as flux capacity constraints which limit the maximum flux through certain reactions.
The respiratory electron transfer capacity of intact cells was evaluated using FCCP (carbonyl cyanide p-trifluoromethoxyphenylhydrazone) to obtain the maximum flux.
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