Jay Konieczka - “Exploring Network Topologies to Describe Real-World (and Imagined?) Biological Systems”

January 26th, 2007

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Date and Time: Friday, January 26, 2007, 4 PM
Location: Room 2919 at the Arizona Cancer Center, 1515 N. Campbell | map
Title: "Exploring Network Topologies to Describe Real-World (and Imagined?) Biological Systems"
Presenter: Jay Konieczka, Ph.D. Student, Antin Lab, Molecular & Cellular Biology, University of Arizona
Presentation Description:

I'll describe an artificial intelligence approach to explore biological network models for those that recapitulate existing biological phenomena. Distinct patterns of gene expression are necessary throughout the development of complex body plans in order to delineate tissue formation and deformation. These patterns are produced by genes conspiring together in complex underlying networks that ultimately drive development forward. My research focuses on establishing, for a given pattern, a preliminary network and exploring topology space for related networks that do a "better job" of recapitulating the biological pattern. Assuming this can be done, and that all networks driving development can be understood, we can turn this idea on its head and begin asking, "What can we create?"

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