Team:ETH Zurich/Project/Motivation

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(Why in this case simpler is better ...)
(Engineering chasis)
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== Engineering chasis ==
== Engineering chasis ==
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Our main motivation is to develop a method to reduce the complexity of the target organism dramatically. This will allow to characterize the biochemical reactions that are necessary to sustain life, eliminating all the "balast" that may interfere with the inserted functions. We are trying to move from a network with unknown interactions like this:
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Our main motivation is to develop a method to reduce the complexity of the target organism dramatically. This will allow to characterize the biochemical reactions that are necessary to sustain life, eliminating all the "balast" that may interfere with the inserted functions. We are trying to move from a network with many unknown interactions like this:
[[Image:network1.png]]
[[Image:network1.png]]
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[[Image:network2.jpg]]
[[Image:network2.jpg]]
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== Current approaches ==
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Revision as of 18:33, 25 October 2008


Why in this case simpler is better ...

Building new functions into cells is the goal of synthetic biology. To achieve this, circuits encoding for the desired behavior have to be inserted into an existing network of allready considerable complexity, where many of the interactions are not completely understood. By reducing the complexity of the target organism, this interdependencies can be reduced and more predictable results can be obtained.

One of the main engineering goals in this field is to make the design of new circuits more deterministic, allowing for predictive mathematical models and simulation of new functions before these are implemented in vivo. Cross-talk between the different pathways in the organism and the additionally implemented circuits can lead to interferences, making the behavior non-deterministic. In such cases "debugging" of the inserted circuit can be extremely hard. A minimal cell would provide a more predictable chassis when used as an engineering fundament.

Engineering chasis

Our main motivation is to develop a method to reduce the complexity of the target organism dramatically. This will allow to characterize the biochemical reactions that are necessary to sustain life, eliminating all the "balast" that may interfere with the inserted functions. We are trying to move from a network with many unknown interactions like this:

Network1.png

to something more in line with this:

File:Network2.jpg

Current approaches