Difference between revisions of "Davidson Missouri W/Solving the HPP in vivo"

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Using the same flipping mechanism, we are trying to develop a bacterial computer which solves a new type of mathematical problem, the ''Hamiltonian Path'' problem
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Using the Hin/''HixC'' flipping mechanism, we are developing a bacterial computer which solves a specific mathematical problem, the ''Hamiltonian Path'' problem.
  
 
=The Hamiltonian Path Problem=
 
=The Hamiltonian Path Problem=

Revision as of 16:15, 25 July 2007

Home | Background Information | Current Project: Solving the Hamiltonian Path Problem in vivo | Probability and Statistics | Gene Splitting | Controlling Expression | Traveling Salesperson Problem | Backwards Promotion and Read-Through Transcription | Resources and Citations

Using the Hin/HixC flipping mechanism, we are developing a bacterial computer which solves a specific mathematical problem, the Hamiltonian Path problem.

The Hamiltonian Path Problem

A Hamiltonian Path is a trip through a graph which visits each node exactly once. A graph may have multiple Hamiltonian Paths, only one, or even none. Given a graph, a starting point and an endpoint, does it contain a Hamiltonian path?

We solve our problem by transforming E. coli cells with specially engineered plasmids.

Designing a Plasmid

Our plasmid consists of reporter genes and HixC sites. HixC sites are placed within the coding regions of our reporter genes. The reporter genes are joined in such a way as to represent a graph. Each reporter gene represents a node, and the connection of two reporter genes together without any HixC sites in between represents an edge.

Above: A graph on a plasmid. Below: flipping into a solution.

Developing Nodes

We represent the graph's nodes with reporter genes. In order to allow for flipping, we must insert HixC sites within the coding regions of our reporter genes. We call this process gene splitting. If our reporter gene tolerates a HixC insertion then we can use it as a node on our graph.