Difference between revisions of "Team:Stockholm/Modeling"

Revision as of 19:00, 16 September 2015

Modeling

Modeling Our main goal was to estimate how the EnvZ concentration correlates with the signal from GFP production. For that we decided to divide our system into four main models: • OmpR production and phosphorylation beginning with the EnvZ receptor • OmpC translation • Release of quorum sensing (QS) molecules • GFP expression for detection. Parts 1 & 2: OmpR Phosphorylation and OmpC Translation We wanted to insert the EnvZ receptor into a bacterial cell to activate a signal cascade including four main parts (OmpR production, OmpC translation, quorum sensing and GFP expression). For the first two parts, OmpR and OmpC production, we used various published research to find equations describing the main reactions and their rate constants. With the help of SimBiology software, a plug-in installed in MatLab, we designed these models by drawing them qualitatively, choosing the kinetics and adding all the constants. We then put the two parts together. Down below is the OmpC production-reduction EnvZ switch depending on the osmolarity level. The way to design a model is to define each compartment, in this case the cell membrane and the cytoplasm. Each reactant is a substance and the reactant molecules connect them. The substances are given their corresponding initial values. The kinetic law Mass Action is selected if the kinetics is unknown.

@@ Line 35: / Line 35: @@
 <h2>Modeling</h2>
+Modeling
+Our main goal was to estimate how the EnvZ concentration correlates with the signal from GFP production. For that we decided to divide our system into four main models:
+•	OmpR production and phosphorylation beginning with the EnvZ receptor
+•	OmpC translation
+•	Release of quorum sensing (QS) molecules
+•	GFP expression for detection.
+Parts 1 & 2:  OmpR Phosphorylation and OmpC Translation
+We wanted to insert the EnvZ receptor into a bacterial cell to activate a signal cascade including four main parts (OmpR production, OmpC translation, quorum sensing and GFP expression). For the first two parts, OmpR and OmpC production, we used various published research to find equations describing the main reactions and their rate constants. With the help of SimBiology software, a plug-in installed in MatLab, we designed these models by drawing them qualitatively, choosing the kinetics and adding all the constants. We then put the two parts together. Down below is the OmpC production-reduction EnvZ switch depending on the osmolarity level.
+The way to design a model is to define each compartment, in this case the cell membrane and the cytoplasm. Each reactant is a substance and the reactant molecules connect them. The substances are given their corresponding initial values. The kinetic law Mass Action is selected if the kinetics is unknown.