Team:Yale/Project/modeling

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We sought out to determine the optimal time to induce the E. coli in order to produce the largest quantity of antimicrobial peptides.  We created a theoretical model using MATLAB, using E. coli logistical growth combined with exponential decay (due to the antimicrobial peptide) at different induction times.  We simulated a 24 hour period and determined the optimal time to inducer the cell is at mid-log (~8.5 hours) in order to maximize production of the peptide.  The graph to the right shows E. coli growth at with inducing at different times.  The follow a logistic growth model until the inducer is added and then there is an exponential decay.  Overlayed with this graph is the total production of of the peptide with induction at every 3 minutes over the 24 hour period.
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We sought out to determine the optimal time to induce the E. coli in order to produce the largest quantity of antimicrobial peptides.  We created a theoretical model using MATLAB, using E. coli logistical growth combined with exponential decay (due to the antimicrobial peptide) at different induction times.  We simulated a 24 hour period and determined the optimal time to inducer the cell is at mid-log (~8.5 hours) in order to maximize production of the peptide.  The graph to the right shows E. coli growth at with inducing at different times.  The follow a logistic growth model until the inducer is added and then there is an exponential decay.  Overlayed with this graph is the total production of of the peptide with induction at every 3 minutes over the 24 hour period.  The MATLAB code for our model can be found <strong>Here</strong>.
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Revision as of 03:56, 13 October 2014

Modeling


Modeling E. coli growth producing a toxic compound

We sought out to determine the optimal time to induce the E. coli in order to produce the largest quantity of antimicrobial peptides. We created a theoretical model using MATLAB, using E. coli logistical growth combined with exponential decay (due to the antimicrobial peptide) at different induction times. We simulated a 24 hour period and determined the optimal time to inducer the cell is at mid-log (~8.5 hours) in order to maximize production of the peptide. The graph to the right shows E. coli growth at with inducing at different times. The follow a logistic growth model until the inducer is added and then there is an exponential decay. Overlayed with this graph is the total production of of the peptide with induction at every 3 minutes over the 24 hour period. The MATLAB code for our model can be found Here.

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P.O. Box 208103
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Phone: 203.432.3783
igem@yale.edu
natalie.ma@yale.edu (Graduate Advisor)
Copyright (c) 2014 Yale IGEM

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