Glasgow/Wetlab/Goals
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#Design and make new BioBricks for the production of pyocyanin. | #Design and make new BioBricks for the production of pyocyanin. | ||
#Clone genes and test responsiveness/sensitivity in non-pathogenic bacteria using ONPG. | #Clone genes and test responsiveness/sensitivity in non-pathogenic bacteria using ONPG. | ||
| - | #Clone genes into shuttle vector and test motility/transferability in both ''E. coli'' and | + | #Clone genes into shuttle vector and test motility/transferability in both ''E. coli'' and pseudomonads. |
#Get ''E. coli'' to produce pyocyanin. | #Get ''E. coli'' to produce pyocyanin. | ||
#Improve efficiency of fuel cells. | #Improve efficiency of fuel cells. | ||
| - | #Make fuel cells with ''E. coli'' or | + | #Make fuel cells with ''E. coli'' or pseudomonads which respond to stimuli to produce pyocyanin. |
| + | #Active collaboration between the biologists and the modellers to produce models that can accurately describe the behaviour of the chosen systems. | ||
| + | #Explore a variety of different computational approaches to study the behaviour of the chosen systems. | ||
| + | #Computational validation of hypotheses proposed by the biologists. | ||
Latest revision as of 13:59, 26 October 2007
 | Back To Glasgow's Main Page | Back To Glasgow's Project Page |
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Main Goals of Glasgow Project
- Design and make new BioBricks for detection systems: XylR, Pu, Pr, DntR and DntA.
- Design and make new BioBricks for the production of pyocyanin.
- Clone genes and test responsiveness/sensitivity in non-pathogenic bacteria using ONPG.
- Clone genes into shuttle vector and test motility/transferability in both E. coli and pseudomonads.
- Get E. coli to produce pyocyanin.
- Improve efficiency of fuel cells.
- Make fuel cells with E. coli or pseudomonads which respond to stimuli to produce pyocyanin.
- Active collaboration between the biologists and the modellers to produce models that can accurately describe the behaviour of the chosen systems.
- Explore a variety of different computational approaches to study the behaviour of the chosen systems.
- Computational validation of hypotheses proposed by the biologists.
