Team:KU Leuven/Project/Glucosemodel/MeS/Modelling
From 2013.igem.org
Line 123: | Line 123: | ||
</div> | </div> | ||
</div> | </div> | ||
+ | |||
+ | <div id="header" class="row-fluid"> | ||
+ | <div class="span12"> | ||
+ | <h3>Section 2: Parameter Choice</h3> | ||
+ | </div> | ||
+ | </div> | ||
+ | <div class="row-fluid"> | ||
+ | <div class="span12 white"> | ||
+ | <p align = "justify">Of course this model is useless without any good parameters. In this next section you can read about our search for decent parameters and its complications. | ||
+ | </p> | ||
+ | </div> | ||
+ | </div> | ||
+ | |||
+ | <div class="row-fluid"> | ||
+ | <div class="span12 white"> | ||
+ | <p align = "justify"><h3>Symbiology Diagram:</h3> | ||
+ | The first step in our model is the determination of the number of genes which can be transcribed. In our system we start with 2 genes (<i>pchBA</i> operon and <i>bsmt1</i>). They are not on the same plasmid but both carry a pMB1 origin of replication. This ORI has a copy number of 100 to 300 genes per cell. Therefore we will assume 200 copies of genes per cell. | ||
+ | </p> | ||
+ | </div> | ||
+ | </div> | ||
+ | |||
Revision as of 20:10, 1 October 2013
Secret garden
Congratulations! You've found our secret garden! Follow the instructions below and win a great prize at the World jamboree!
- A video shows that two of our team members are having great fun at our favourite company. Do you know the name of the second member that appears in the video?
- For one of our models we had to do very extensive computations. To prevent our own computers from overheating and to keep the temperature in our iGEM room at a normal level, we used a supercomputer. Which centre maintains this supercomputer? (Dutch abbreviation)
- We organised a symposium with a debate, some seminars and 2 iGEM project presentations. An iGEM team came all the way from the Netherlands to present their project. What is the name of their city?
Now put all of these in this URL:https://2013.igem.org/Team:KU_Leuven/(firstname)(abbreviation)(city), (loose the brackets and put everything in lowercase) and follow the very last instruction to get your special jamboree prize!
Methylsalicylate - Model
BLABLABLA
Section 1: ODE Representation
The methyl salicylate pathway contains the following reactions:
with:
- PchA = Pyochelin A
- PchB = Pyochelin B
- BSMT1 = Benzoate/Salicylate carboxyl methyltransferase
- SAM = S-adenosyl-L-methionine
- SAH = Salicylate methyl ester
At first, our intention was to model the entire pathway from the implemented DNA sequence to the resulting production rate. This could be very useful in order to have an approximation of the resulting production rate and in order to figure out the rate-limiting step. In order to achieve this we need a mathematical representation of all of our biological processes, the transcription rate, the mRNA degradation rate, the translation rate, the protein degradation rate and the enzyme kinetics.
We created a set of ordinary differential equations (ODEs), which represents every step in our pathway: transcription, translation and the chemical activity of the protein.
mRNA flux:
See the formulary below for further information about the used terminology.
Comments:
The proteins pyochelin A (PchA) and pyochelin B (PchB) are extracted from the pchDCBA operon and are the structural proteins responsible for salicylate biosynthesis. Serion et al. (1995) describe that expression of the pchA gene appears to depend on the transcription and translation of the upstream pchB gene in P. aeruginosa. They also state “Salicylate formation was demonstrated in an Escherichia coli entC mutant lacking isochorismate synthase when this strain expressed both the pchBA genes, but not when it expressed pchB alone”. This is also confirmed by Gaille, Reimman and Haas (2003): “The pchA gene is strictly co-expressed with the upstream pchB gene; without pchB being present in cis no expression of pchA can be observed”. Finally Serion et al. (1995) also report that the pchB stop codon overlaps the presumed pchA start codon.
Therefore we conclude that transcription and translation of pchA and pchB is coupled and decided to use only one gene (pchBAgene), and only one mRNA molecule (mpchbA) for both proteins (PchA and PchB) in our model.
Protein flux:
See the formulary below for further information about the used terminology.
Methyl salicylate synthesis:
See the formulary below for further information about the used terminology.
Comments:
- For our modeling purposes, we take the chorismate concentration as a pool.
- For every reaction we assume Michaelis-Menten kinetics.
- The division by NA. EcoliCellVolume in the numerator is necessary to convert the amount of molecules of our enzyme to a concentration.
- In equations [3.E] and [3.F ] Km3a represents the Km of salicylate while Km3b represents the Km of SAM.
Formulary:
For example for BSMT1:Name | Units | Description |
---|---|---|
BSMT1gene | # genes | Copy number (amount) of bsmt1 gene |
mBSMT1 | # mRNA | Amount of bsmt1 mRNA |
BSMT1 | # proteins | Amount of BSMT1 substance (protein/molecule) |
γmBSMT1 | Transcription rate of PchBA gene | |
αmBSMT1 | Degradation rate of PchBA mRNA | |
βBSMT1 | Translation rate of PchA | |
αBSMT1 | Degradation rate of PchA protein | |
kcat1 | Turnover number | |
NA | Avogadro constant | |
EcoliCellVolume | Liter | The average volume of one E. coli cell |
Km | Molarity | Michaelis-Menten constant |
Symbiology Diagram:
We have put this model in SimBiology, provided by MATLAB, resulting in the following diagram:Section 2: Parameter Choice
Of course this model is useless without any good parameters. In this next section you can read about our search for decent parameters and its complications.