Team:Imperial College London/Modelling/Experiments

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<b>Engineering approach to the project</b>
 
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<p><b>Engineering approach to the project</b></p>
1. Influence of Specification on Design and vice versa:
1. Influence of Specification on Design and vice versa:
*It was one of the longest steps as we were struggling to compromise the specifications with the viable designs.
*It was one of the longest steps as we were struggling to compromise the specifications with the viable designs.

Revision as of 18:46, 13 October 2010

Dry-Lab Wet-Lab Interaction
Diagram of engineering cycle
Diagram representing the engineering cycle.

Engineering approach to the project

1. Influence of Specification on Design and vice versa:

  • It was one of the longest steps as we were struggling to compromise the specifications with the viable designs.

2. Influence of Design on Modelling and vice versa:

  • All modelling done was meant to give answers to questions that arose in the design phase.
  • Once designs were chosen, they were modelled. It was found that 2 step amplification is not likely to be effiecient, so it was decided that only 1step amplification will be taken forward to assembly. This was a significant conclusion as it would take weeks in the labroatory to find that out.
  • The doubt about big enough gradient of AIPs to be established in the extracellular space to set off receptor was rationalised by modelling. The model allowed to determine conditions for the system to work

3. Influence of Modelling on Assembly and vice versa:

  • The results from modelling allowed to progress with assembly

4. Influence of Assembly on Testing and vice versa:

  • testing has been planned ahead, so assembly contructs have been modified to allow some testing methods like: purification or negative control.

5. Influence of Testing on Specifications and vice versa:

  • We did not get there yet. However, if the specifications would not be met by the results, we would need to try redesigning the system or, in case of no alternative, changing the specifications.

6. Influence of components not adjacent to each other in the cycle:

  • Testing may influence modelling as the results of the two do not match.
  • Many experiments were diesgned specifically on the request of modellers in order to find parameters for the models. Obtaining those paramters would increase the reliability of the models.
Wet-Lab for Dry-Lab
Output Amplification Model
  1. Determine the maximum concentration of sD that
    cells can produce (in vivo): Compare activity with 2.
  2. Determine how much XylE we need to produce
    prior to adding Catechol (in vitro first, maybe in vivo
    afterwards). In vivo IPTG: Compare cultures that
    have less of it.
  3. Determine XylE and TEV production (in vivo).
    Use robot to induce production and measure
    activities TEV (FRET pairs with TEV link).
  4. Degradation of XylE (in vivo or in vitro if cell division
    is not taken into account). Monitoring activity, then
    approximate the concentration. Remove the IPTG.
  5. Determine TEV kinetics (kcat, Km) on
    XylE-GFP (in vitro).

Protein Display Model
  1. Kinetic constants (kcat, Km) of
    TEV acting on the display peptide.
  2. Production rate of peptide.
  3. Total number of proteins expressed
    on the cell wall.
  4. Number of free floating proteins
    without cleaving by TEV (or the
    ratio of the above).