Team:IIT Madras/Dry lab/Modelling

From 2011.igem.org

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Literature data:<br/>
Literature data:<br/>
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<li>Genome scale metabolic model thermodynamic data for genome scale <b>E.coli K-12 MG1655</b> was derived. This was done by alignment with genomic annotation and the metabolic content of EcoCyc, characterization and quantification of biomass components and maintenance requirements of cell required for growth of the cell and thermodynamic data for reactions[1].</li> <br/>
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<li>Genome scale metabolic model thermodynamic data for genome scale <b>E.coli K-12 MG1655</b> was derived. This was done by alignment with genomic annotation and the metabolic content of EcoCyc, characterization and quantification of biomass components and maintenance requirements of cell required for growth of the cell and thermodynamic data for reactions <sup>[1]</sup>.</li> <br/>
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<li>Reconstruction of the pathway was carried out to suit our project, hence involving the effects due to Proteorhodpsin pumping activity. Data for pH gradient [2], the delta [H+] [3] was taken from literature and hence flux was calculated to formulate a comprehensive model.</li> <br/><br/><br/><br/><br/>
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<li>Reconstruction of the pathway was carried out to suit our project, hence involving the effects due to Proteorhodpsin pumping activity. Data for pH gradient <sup>[2]</sup>, the delta [H+] <sup>[3]</sup> was taken from literature and hence flux was calculated to formulate a comprehensive model.</li> <br/><br/><br/><br/><br/>
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A. Martinez, A. S. Bradley†, J. R. Waldbauer, R. E. Summons and E. F. DeLong,PNAS-2007</li>
A. Martinez, A. S. Bradley†, J. R. Waldbauer, R. E. Summons and E. F. DeLong,PNAS-2007</li>
<li>"Light-powering Escherichia coli with proteorhodopsin"
<li>"Light-powering Escherichia coli with proteorhodopsin"
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Jessica M. Walter, Derek Greenfield, Carlos Bustamante, and Jan Liphardt,PNAS-2007</li></b></p>
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Jessica M. Walter, Derek Greenfield, Carlos Bustamante and Jan Liphardt,PNAS-2007</li></b></p>
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Revision as of 03:04, 29 October 2011

bar iGEM 2011 - Home Page Indian Institute of Technology - Madras



In-Silico - Comparative Growth Analysis of Wild type vs PR Transformed cells

(Metabolic Modeling using Constraint Based Reconstruction and Analysis)

Hypothesis

    Increase in cell growth rate due to the proton efflux generated by Proteorhodopsin in minimal carbon media

Model Design

Reconstruction and Mathematical Modeling of E.coli K12-MG1655 pathway with Proteorhodopsin. Literature data:
  1. Genome scale metabolic model thermodynamic data for genome scale E.coli K-12 MG1655 was derived. This was done by alignment with genomic annotation and the metabolic content of EcoCyc, characterization and quantification of biomass components and maintenance requirements of cell required for growth of the cell and thermodynamic data for reactions [1].

  2. Reconstruction of the pathway was carried out to suit our project, hence involving the effects due to Proteorhodpsin pumping activity. Data for pH gradient [2], the delta [H+] [3] was taken from literature and hence flux was calculated to formulate a comprehensive model.







Model Construction

Protocol for Metabolic Modeling


Click here to download SBML file for the genome scale e.coli (K-12 MG1665) model including Proteorhodopsin

Validation of Model


Simulations for Proof of Concept



References

  1. "A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information" Adam M Feist, Christopher S Henry, Jennifer L Reed, Markus Krummenacker, Andrew R Joyce, Peter D Karp,Linda J Broadbelt, Vassily Hatzimanikatis and Bernhard Ø Palsson,Molecular Systems Biology-2007
  2. "Proteorhodopsin photosystem gene expression enables photophosphorylation in a heterologous host" A. Martinez, A. S. Bradley†, J. R. Waldbauer, R. E. Summons and E. F. DeLong,PNAS-2007
  3. "Light-powering Escherichia coli with proteorhodopsin" Jessica M. Walter, Derek Greenfield, Carlos Bustamante and Jan Liphardt,PNAS-2007