Glycosylation Flux Analysis (GFA) is a constraint based modelling technique to analyze the fluxes through the glycosylation network based on a pseudo steady state assumption. While the glycosylation fluxes in the network are balanced at each time point, the GFA allows the fluxes to vary with time by way of two scaling factors: (1) an enzyme-specific factor that captures the temporal changes among glycosylation reactions catalyzed by the same enzyme, and (2) the cell specific productivity factor that accounts for the dynamic changes in the protein production rate.

Please cite the following article when using GFA.

We have recast the optimization in the GFA as a fixed point iteration. Therefore, no further toolbox is required for the optimization. This software has been tested on MATLAB R2016a

03.08.2015 GFA v.1.0

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Please refer to Installation Guide for MATLAB

This work has been supported by the ETH Zurich Research Grant.