Difference between revisions of "Team:Heidelberg/Sandbox LP"

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         Organosilicons or compounds containing bonds between silicon and carbon and provide completely new structural moieties with altered properties and metabolism. By utilizing a well-known and previously engineered Cytochrome c as a catalyst, it is possible to synthesize carbon-silicon compounds suitable for medical and agricultural applications e.g. in Alzheimer’s disease or as insecticide. In our project we are focusing on the application of a whole organism that forms novel organosilicons by simultaneously evolving better cytochromes when coupled to a phage assisted continuous evolution (PACE) approach. In a stepwise proof of principle design, we can show 1) the production of two different organosilicons analyzed via Gas chromatography–mass spectrometry method and 2) the viability of a riboswitch-coupled reporter system detecting one of the most valuable compounds derived from Organosilicon formation. This proof of principle will lead us to biocatalysts which are environmentally friendly and will greatly contribute to the production of novel carbon-silicon bonds as they are highly efficient.
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         Organosilicons or compounds containing bonds between silicon and carbon and provide completely new structural moieties with altered properties and metabolism. By utilizing a well-known and previously engineered Cytochrome c as a catalyst, it is possible to synthesize carbon-silicon compounds suitable for medical and agricultural applications e.g. in Alzheimer’s disease or as insecticides. In our project, we are focusing on the application of a whole organism that forms novel organosilicons by simultaneously evolving better cytochromes when coupled to a phage-assisted continuous evolution (PACE) approach. In a stepwise proof of principle design, we can show 1) the production of two different organosilicons analyzed via Gas chromatography - mass spectrometry method and 2) the viability of a riboswitch-coupled reporter system detecting one of the most valuable compounds derived from Organosilicon formation. This proof of principle will lead us to biocatalysts which are environmentally friendly and will greatly contribute to the production of novel carbon-silicon bonds as they are highly efficient.
 
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Revision as of 16:01, 29 October 2017


Organosilicons or compounds containing bonds between silicon and carbon and provide completely new structural moieties with altered properties and metabolism. By utilizing a well-known and previously engineered Cytochrome c as a catalyst, it is possible to synthesize carbon-silicon compounds suitable for medical and agricultural applications e.g. in Alzheimer’s disease or as insecticides. In our project, we are focusing on the application of a whole organism that forms novel organosilicons by simultaneously evolving better cytochromes when coupled to a phage-assisted continuous evolution (PACE) approach. In a stepwise proof of principle design, we can show 1) the production of two different organosilicons analyzed via Gas chromatography - mass spectrometry method and 2) the viability of a riboswitch-coupled reporter system detecting one of the most valuable compounds derived from Organosilicon formation. This proof of principle will lead us to biocatalysts which are environmentally friendly and will greatly contribute to the production of novel carbon-silicon bonds as they are highly efficient.
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Phage titer

Simulations of phage and E. coli titer support both PREDCEL and PACE by helping to choose a set of experimental parameters that is both efficient in terms of directed evolution and in terms of usability.

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Interactive Webtools

Use the interactive tools to simulate the conditions you are interested in and explore how the combined experimental parameters influence experimental outcomes.

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Mutagenesis Induction

Model the glucose concentration to make sure mutagenesis plasmids are sufficiently induced to get optimal mutagenesis conditions for both PREDCEL and PACE.

Analytic Model

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Lagoon Contamination

Check if lagoons are vulnerable to contamination by microorganisms under given experimental conditions.

Analytic Model

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Mutation Rate Estimation

Estimate the number of mutated sequences in a PREDCEL or PACE experiment at a given point in time to check for the covered sequence space and to save time and mony when sequencing.

Analytic Model

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Medium Consumption

Calculate the amount of medium needed for a PACE experiment, see how medium consumption can be reduced when experimental parameters are optimised.

Analytic Model

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