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Digital Chemotaxis
Chicago scientists develop agent-based computational model for Escherichia coli
The Scientist 2005, 19(18):32
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A new, single-cell computational model developed by scientists at the University of Chicago and Argonne National Laboratory borrows a technique used in the social sciences to digitally study how random molecular events within a cell influence its behavior. In a proof-of-principle study, Thierry Emonet and colleagues showed that their program, AgentCell, accurately simulated chemotaxis in 1,000 individual Escherichia coli bacteria.[1]
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