IGEM:Imperial/2010/Objectives

Objectives

Week 6

Day	Monday	Tuesday	Wednesday	Thursday	Friday
Date	09	10	11	12	13
Objective				Find constants	Find protein production constants and TEV reaction rate constants
Completion				We didn't manage to complete the task	The orders of magnitude established - ready to run simulations

Week 7

Day	Monday	Tuesday	Wednesday	Thursday	Friday
Date	16	17	18	19	20
Objective	Implementing the constant ranges in the output model. Comparing the results between the models.	Start modelling the protein display signalling to find the concentrations. Explain the oscillations that are occuring in the output amplification model	Research stiff differential equations Research on receptor (especially MAP kinase) Finalise results for amplification model Prepare presentation	During meeting it was decided that we should test amplificiation model for its sensitivity to change of parameter values. This is to determine the key parameters to be measured in the lab.	Discuss the experiments for amp. module further Start on modelling the protein display on cell surface
Completion	The task is accomplished. However, unexplained oscillations are observed for some specific values	We got rid of the oscillations in our model (by using ode15s instead of ode45).	Presentation ready Reading on stiff equations done	Key sensitive parameters determined Experiments initially discussed with Chris	Further consult on experiments for determining parameters needed for modelling with James and Wolf Initial thought for a protein display model implemented in MatLab

Week 8

Day	Monday	Tuesday	Wednesday	Thursday	Friday
Date	23	24	25	26	27
Objective	Test the protein display model and find to what kind of values it's sensitive to	define the control volume around the bacterial cell Start on testing the model	We realised that it would be worth adding the last step (colour production by dioxygenase) into our amplfication models	We need to finalise testing and formulation of certain assumptions regarding the amplfication (cell death in particular) Consider helping RMIT- Australia in modelling wiki	Keep exploring the prospective solutions to our system going unstable Try to implement the last bit of amplification in TinkerCell. Maybe it will deal with it well.
Completion	We couldn't reach the testing as the first model "Display 1" was simulating reactions as if the were taking place inside the bacterial cell while in reality the take place outside. Then we hit an issue of defining the size of volume around the cell. We didn't manage to resolve that problem today.	Control volume defined Testing of model done Protein model pretty much finalised	The colour production almost complete, however complications were encountered regarding the cell death (colour compound slowly kills cells)	Basically we're stuck: scaling didn't help neither did trying idfferent solvers Meeting with Matthieu gave us some prospective solutions that we can explore Alternatively we can have a look at SimBiology or MatCont helping RMIT - their request is for protein engineering simulation - we cannot do that	We know how to use the splinetool in Matlab - it's tool to smoothen noisy graphs allows to manipulate graphs We found that specifying time span (initial and final time) instead of specific time array with defined time steps helps to reduce the simulation time, but it does not improve much on issue we're trying to tackle at the moment Model was implemented in TinkerCell, but we didn't ahve enough time to compare it with Matlab model Increasing relative or absolute tolerance in Matlab prevents some solutions from going negative and reduces this behaviour a lot for other scenarios. It probably will be what we will choose to use if we cannot find solution that ultimately deals with the problem. The key point is that, according to experiment carried out earlier today, we are interested in first minute of the experiment as the reaction to catechol is really quick (after decreasing tolerances solutions never go below zero within that time).

Week 9

Day	Monday	Tuesday	Wednesday	Thursday	Friday		Date	30	31	01	02	03
Objective	Bank holiday	Compare Tinker Cell results against MatLab simulations (Amplficiation model) Compare SimBiology package (in Matlab) results against equations we have derived. (amplification model) See how we could explore the problem of false negatives in Protein Display model	Discuss the protein display false positive prepare presentation for the meeting compare the catechol colour response (cells alive vs. immediate cell death) discuss with Matthieu on the issue of negative concentrations, volume approximations made in protein display model and the idea of modelling the false positive case	Update Modelling section of the Wiki Update list of experiments (especially for Protein Display Model) and discuss with Chris and Wolf
Completion		Tinkercell is not very good at dealing with very high or low values SimBiology package generates same graphs as our manual simulations. The interface is quite easy to use. Decreasing absolute and relative tolerances is becoming accpeted as a solution to a negative concentrration problem (tomorrow there will be one more discussion on that with Matthieu)

Week 10

Day	Monday	Tuesday	Wednesday	Thursday	Friday	Weekend
Date	06	07	08	09	10	11-12
Objective
Completion