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Published on: 10/7/2008
Last Visited: 11/21/2007
Dr. Carlos Simmerling, associate professor at Stony Brook's Center for Structural Biology, guided the research team, which successfully simulated how the HIV protease changes between two forms that already have been determined through experiments.
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"We determined that if we knew how HIV protease opened, we could better identify a new and potentially more sensitive drug target," said Dr. Simmerling.
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Individual simulations modeled only 50 nanoseconds of behavior -- less time than it takes a beam of light to travel 50 feet -- but they still last long enough for Dr. Simmerling and his colleagues to model HIV protease in unprecedented detail.
"We can model the full change between the known structures with very high accuracy," Dr. Simmerling explained."We can also see how it opens, and where a drug molecule binds to the protease and causes it to close.And then we can reverse that process, and the protease opens again.These are all things that experiments have not been able to show us."
Such reliability suggests the simulation will prove helpful in testing the potential efficacy of new drugs, and in understanding how variations of HIV seen between different patients can change a drug's behavior."HIV is a very adaptive virus that mutates easily, which can reduce the benefit of a drug," Dr. Simmerling said.
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Dr. Simmerling's group developed the simulations using AMBER, a molecular dynamics application developed in part by Simmerling's lab.
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"Roberto's contributions made the simulations a lot faster," said Dr. Simmerling.
For the researchers, achieving such a detailed picture of HIV protease dynamics was a milestone that was a long time coming, and the broad availability of SGI Altix systems made it easier."I don't know that I would have tried this a couple of years ago," said Dr. Simmerling.
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For instance, in tests designed to assess the viability of the project, SGI's Dr. Gomperts and Dr. Simmerling's team determined that the same AMBER simulation running on a 128- processor Xeon cluster at NCSA and on 128 processors of an Altix Bx2 system would take more than three times longer to complete on the cluster.