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Supercomputing Science

Using Supercomputers To Find a Bacterial "Off" Switch 30

Nerval's Lobster writes "The comparatively recent addition of supercomputing to the toolbox of biomedical research may already have paid off in a big way: Researchers have used a bio-specialized supercomputer to identify a molecular 'switch' that might be used to turn off bad behavior by pathogens. They're now trying to figure out what to do with that discovery by running even bigger tests on the world's second-most-powerful supercomputer. The 'switch' is a pair of amino acids called Phe396 that helps control the ability of the E. coli bacteria to move under its own power. Phe396 sits on a chemoreceptor that extends through the cell wall, so it can pass information about changes in the local environment to proteins on the inside of the cell. Its role was discovered by a team of researchers from the University of Tennessee and the ORNL Joint Institute for Computational Sciences using a specialized supercomputer called Anton, which was built specifically to simulate biomolecular interactions among proteins and other molecules to give researchers a better way to study details of how molecules interact. 'For decades proteins have been viewed as static molecules, and almost everything we know about them comes from static images, such as those produced with X-ray crystallography,' according to Igor Zhulin, a researcher at ORNL and professor of microbiology at UT, in whose lab the discovery was made. 'But signaling is a dynamic process, which is difficult to fully understand using only snapshots.'"
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Using Supercomputers To Find a Bacterial "Off" Switch

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  • by TheRealHocusLocus ( 2319802 ) on Thursday December 19, 2013 @07:58AM (#45734733)

    Proteins are not just building blocks, they are Rubik Cubes of the organic world, and this learning process of real-time signalling has reached the [inverse] stage as when we realized that with transistor amplification in a complementary balanced pair a bistable multivibrator [wikipedia.org] was possible. The bit 'state' storage when joined with the plumbing of NAND gates is the basis for the computer.

    With Life we have been reverse engineering, poking things with sharp sticks to see where and how they break, in medicine retarding or advancing chemical mechanisms to bring a patient's complex system back to natural equilibrium (health).

    Even simple computer models can be capable of astonishing behavior [youtube.com], and it is already possible to construct systems in which parallel (but inherently different to our own) evolution may occur. The challenge is to be able to model the mechanics of life on all practical scales simultaneously to the point where we could join software gametes in a virtual crucible and grow a model embryo. Or at least an e.coli.

    Note to scientists: please do not turn off e.coli. It's important to me.

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