A robotic biologist
While some people may have been impressed (or intimidated) by the recent development of a system that automatically raises and analyzes cell cultures, it turns out that another facet of the biological research process may also be going to the machines. An interdisciplinary team of researchers recently demonstrated a computer system that is able to take in raw scientific data from a biological system, and output mathematical equations describing how that system operates – it is reportedly one of the most complex scientific modeling problems that a computer has solved entirely from scratch. While the system is known affectionately as “ABE,” it is also being referred to as a robotic biologist.
ABE, or the Automated Biology Explorer, was developed through a collaboration between scientists at Vanderbilt University, Cornell University and CFD Research Corporation, Inc. It’s a modified version of an existing piece of software known as Eureqa, which was created at Cornell and released two years ago. Eureqa was originally intended for use in the designing of robots, where it would eliminate the trial and error process. In an early demonstration of the system, it was able to independently identify the basic laws of motion, by analyzing the movements of a double pendulum.
When Vanderbilt’s Prof. John P. Wikswo heard about this accomplishment, he realized that the system could probably also be used to solve biological puzzles. He contacted one of Eureqa’s creators, Cornell’s Hod Lipson, and the collaboration that ensued resulted in ABE.
In a test of their new system, the scientists fed ABE a data set that corresponded to the raw measurements a scientist would make when observing glycolysis, the primary process that produces energy in a living cell. To keep ABE on its toes, they even introduced an element of random error to ten percent of that data. Even with that handicap, however, ABE was reportedly able to arrive at a set of equations that were nearly identical to those already known to be correct.
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