Team:UIUC Illinois/Modeling

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         <br><h2><center>Fig3. Dog's Intestine & Blood Model</center></h2></br>
         <br><h2><center>Fig3. Dog's Intestine & Blood Model</center></h2></br>

Revision as of 03:00, 18 October 2014


Mathematical Modeling of Caffeine Degradation Pathway

To predict the result of bioreactor, we used mathematica to solve differential using Michaelis-Menton equation. The strength of utilizing mathematica rather than matlab was that it allowed us to set up the value of several constants as varying rather than setting it as invariant. Kcat & Km values were obtained through research papers by Swati & Sathyanarayana (2006), and Ryan M.Summers (2010).

This is caffeine demehtlyation pathway by demethlyase. It goes from Caffeine to theobromine to 7-methylxanthine to xanthine. The other pathway is caffeine dehydrogenase. It goes from Caffeine to Trimethyl Uric acid.

Parameters

Name Description
Vm Maximum rate of system
Kcat Maximum number of substrate molecules converted into products
Km Substrate concentration where the reaction rate is half of maximum (depend on both enzyme and substrate)




Fig1. Caffeine Demethylation Pathway

Initial concentration of caffeine, 10 uM and decreases as it degrades to theobromine, 7-methylxanthine, and finally xanthine with final concentration of 10uM, only if our designed bacteria has efficiency of 100%.







Fig2. Caffeine Dehydrogenase Pathway

Denotes initial concentration of caffeine 10 uM and gradually degrades to Trimethyl Uric Acid with final concentration of 10uM


Modeling Dog's intestine

Description:

In addition to the model of the degradation of caffeine through the two pathways as shown above, it is possible to model the transport of caffeine through two body compartments: blood, small intestine. By doing so, we could understand the optimal levels of bacteria that we would need in order to degrade the maximum concentration of caffeine. In the research book “Solving Ordinary Equations in R” by Soetaert (2012), they list two equations which could model any drug concentration in the intestine represented by y_1 and in the blood represented by y_2






Fig3. Dog's Intestine & Blood Model