Online Gamers Solve Decade-Old HIV Puzzle In Three Weeks
January 3, 2012 12 Comments
In just three weeks, online gamers deciphered the structure of a retrovirus protein that has stumped scientists for over a decade, and a study out Sunday says their breakthrough opens doors for a new AIDS drug design.
The protein, called a protease, plays a critical role in how some viruses, including HIV, multiply. Intensive research has been underway to find AIDS drugs that can deactivate proteases, but scientists were hampered by their inability to crack the enzyme’s structure.
Looking for a solution, researchers at the University of Washington turned to Foldit, a program created by the university a few years ago that transforms problems of science into competitive computer games, and challenged players to use their three-dimensional problem-solving skills to build accurate models of the protein.
Within days, the gamers generated models good enough for the researchers to refine into an accurate portrayal of the enzyme’s structure. What’s more, the scientists identified parts of the molecule that are likely targets for drugs to block the enzyme.
Within days, the gamers generated models good enough for the researchers to refine into an accurate portrayal of the enzyme's structure.
“We wanted to see if human intuition could succeed where automated methods had failed,” said Firas Khatib, a lead author of the study, published in the journal Nature Structural & Molecular Biology.
The researchers were hopeful that their finding would open further possibilities of crowd-sourcing and online game-playing in scientific discovery.
“The ingenuity of game players is a formidable force that, if properly directed, can be used to solve a wide range of scientific problems,” Khatib said.
Seth Cooper, a co-creator of Foldit, added, “People have spatial reasoning skills, something computers are not yet good at. Games provide a framework for bringing together the strengths of computers and humans. The results in this week’s paper show that gaming, science and computation can be combined to make advances that were not possible before.”
