But here she is, acknowledging that the technology she uses to show the inner workings of cells was originally perfected to create realistic images on gaming screens worldwide.
No matter. Sam Cho and his students are using graphics processing units -- also called GPUs or graphics cards -- to explore the biomolecular processes in the cell and take on challenges, including a cure for cancer.
"We have hijacked the same technology that creates the detailed gaming scenes on your computer screen to perform molecular-dynamic simulations," Cho said.
Zou is helping Cho push the limits of GPU-optimized cell simulations. This Mathematical Business and Computational Science major is comparing the data provided by GPU and non-GPU simulations.
"Because of the powerful computational ability of these GPU devices that are usually used for gaming, I couldn't help registering for Dr. Cho's GPU programming course," she said. "Halfway through the semester, I was much impressed by the computational performance of the GPUs, and I approached Dr. Cho about working on a research project related to GPU programming."
For his most recent published study, Cho, an assistant professor of physics and computer science, simulated the folding and unfolding of a critical RNA molecule component of the human telomerase enzyme. This enzyme lengthens DNA strands during cell division. It's what makes tumors continue to grow.
Knowing how human telomerase works could lead to cancer therapies that essentially obliterate tumors, Cho said.
His research findings appear in the Journal of the American Chemical Society.
Now, Cho and his research assistants are looking at a much larger cell system -- the bacterial ribosome -- to see what they can uncover through GPU-optimized molecular dynamic simulations. The graphics cards were donated by Nvidia, the company that invented the GPU; Cho developed a new GPU programming course so he could teach Wake students how to use the cards.
The benefit of the GPU-optimized simulations is that they are much quicker to perform. The ribosome simulation, for example, would take more than 40 years on a standard computer. Using GPUs, Cho and his students will see results in a few months.
The end goal is to map the ribosome's functions so researchers can develop antibiotics to specifically kill bacteria.
And that would be an amazing accomplishment, thanks in large part to videogamers, Cho said.
"If it wasn't for gamers who kept buying these GPUs, the prices wouldn't have dropped, and we couldn't have used them for science," he said.
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Story Source:
The above story is reprinted from materials provided by Wake Forest University, via Newswise. The original article was written by Alicia Roberts.
Note: Materials may be edited for content and length. For further information, please contact the source cited above.
Journal Reference:
Shi Biyun, Samuel S. Cho, D. Thirumalai. Folding of Human Telomerase RNA Pseudoknot Using Ion-Jump and Temperature-Quench Simulations. Journal of the American Chemical Society, 2011; 133 (50): 20634 DOI: 10.1021/ja2092823Note: If no author is given, the source is cited instead.
Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.
