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AI Biotech Science

Doing Science With Virtual Biologists 29

An anonymous reader sends word of new research into automating computational experiments. A team of scientists developed a piece of software, dubbed Eureqa, to help solve complex, computationally-intense biological problems. A new paper in the journal Physical Biology details their success (abstract). "The researchers chose this specific system, called glycolytic oscillations, to perform a virtual test of the software because it is one of the most extensively studied biological control systems. Jenkins and Vallabhajosyula used one of the process' detailed mathematical models to generate a data set corresponding to the measurements a scientist would make under various conditions. To increase the realism of the test, the researchers salted the data with a 10 percent random error. When they fed the data into Eureqa, it derived a series of equations that were nearly identical to the known equations. 'What’s really amazing is that it produced these equations a priori,' said Vallabhajosyula. 'The only thing the software knew in advance was addition, subtraction, multiplication and division.'"
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Doing Science With Virtual Biologists

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