# IGEM:Melbourne/2008/BCModelling/ModelDevelopment

### From OpenWetWare

(Difference between revisions)

Line 17: | Line 17: | ||

*''iterate'' to optimize results... | *''iterate'' to optimize results... | ||

+ | |||

===Initial Model Assumptions=== | ===Initial Model Assumptions=== | ||

Line 28: | Line 29: | ||

- | ==Initial Conditions (leaky transcription | + | ==Initial Conditions (IC) - leaky transcription== (conduct in parallel with overall sensitivity analysis) |

+ | ===Strategy=== | ||

*group components in boxes ... that have similar behaviour and approximate initial concentrations ... | *group components in boxes ... that have similar behaviour and approximate initial concentrations ... | ||

*recalibrate as necessary | *recalibrate as necessary | ||

Line 37: | Line 39: | ||

*introduce further leaky transcriptions via beta'z parameters in hill functions ... | *introduce further leaky transcriptions via beta'z parameters in hill functions ... | ||

*iterate | *iterate | ||

+ | |||

+ | ===Changing Model Assumptions=== | ||

+ | |||

+ | *leaky transcription/expression | ||

+ | *start point ... artificial or SS | ||

+ | |||

+ | |||

+ | |||

+ | ==Sensitivity Analysis (SA)== (conduction in parallel with IC | ||

+ | |||

+ | ===Strategy=== | ||

+ | *basic sensitivity analysis of 1 variable perturbations with no other input | ||

+ | *SA of 1 variable perturbations in addition to pulsatile signal | ||

+ | *grading of output ... refer to previous work (ie. L=A/B+A ... remember dave/jason) |

## Revision as of 09:20, 16 May 2008

## Contents |

## Calibration

### Strategy

*connections*- this is the first part of the modelling to get the connections right both biologically and theoretically. Jason and Dave are doing this for the linear and binary model respectively. Include as much as possible, remember to employ special cases to be able to simplify the model when necessary and ensure complexity when required.

*parameters*- obtain the right parameters for Hill functions, Kd, degradation rates, RL/RK binding constants, and other parameters for more complex models (such as [REFshae 1985|shae 1985], statisical mechanics model for promoter activity)

*break apart*- need to obtain realistic and desired output for each bit of the binary or each component of the linear model.- To assist the individual circuits are to be 'broken down' into smaller section that will be have parameters adjusted such that they behave in two deisred fashions:
*ideal*(as close to square-wave as possible) and*real*not changing the estimated parameters.

- To assist the individual circuits are to be 'broken down' into smaller section that will be have parameters adjusted such that they behave in two deisred fashions:

*iterate*to optimize results...

### Initial Model Assumptions

- (refer to arkin 1998(REF) paper here ...
- deterministic chemical kinetics
- inital concentrations of intermediates at 0
- only model chemical interactions and focus on transcriptional control, ignoring post-transcriptional control mechanisms and characterise protein production as a continuous process.
- activator/repressor binding events to individual promoters are the rate-limiting steps in gene expression (total wrong ... but needed at first ... can modify hill function parameters to suit)

==Initial Conditions (IC) - leaky transcription== (conduct in parallel with overall sensitivity analysis)

### Strategy

- group components in boxes ... that have similar behaviour and approximate initial concentrations ...
- recalibrate as necessary
- conduct a sensitivity analysis on the inital conditions and optimize accordingly.
- senstivities of SS concentrations to change in initial conditions of various parameters.
- sensitvities of transient output to changes in initial condtions ... but then assume that system first settle at SS .. so this might be irrelevant ... have to decide this KEY point ... is systems at SS or do we start at artifical point ... and go for a couple of cycles

- introduce further leaky transcriptions via beta'z parameters in hill functions ...
- iterate

### Changing Model Assumptions

- leaky transcription/expression
- start point ... artificial or SS

==Sensitivity Analysis (SA)== (conduction in parallel with IC

### Strategy

- basic sensitivity analysis of 1 variable perturbations with no other input
- SA of 1 variable perturbations in addition to pulsatile signal
- grading of output ... refer to previous work (ie. L=A/B+A ... remember dave/jason)