2A Viral Tag Modeling for Biosynthesis

        Building a 2A eukaryotic biochemical network can be hard, and these viral tags are not without a drawback. Previous research (Beekwilder 2014) has shown there was a decreased level of expression of enzymes downstream of the promoter. This can certainly affect the overall yield of the pathway, but we can certainly minimize this effect!


        We have designed a computation tool to combinatorically test all available rearrangements of your biochemical network and display the ideal ordering of your network to optimize reaction efficiency. The model utilizes the heavily studied kinetics of enzymes and implements their behavior in a differential equations model. This is nested within a permutation loop to test all possible orderings.


        To emphasize the portability of this tool, the system was designed in MATLAB and embedded in a graphical user interface (GUI). If you want to test this tool out or use it to optimize your own experiments, head on over to:

https://github.com/PatrickHolec/Pathway2A
or contact:
Patrick V. Holec hole0077@umn.edu University of Minnesota