Gamers Beat Algorithms At Finding Protein Structures

Hmm.. Looks like our neural networks are exceptionally capable at modeling energy landscape of the universe. That means we are still hold the monopoly on scientific enquiry. When machines take over science, I hope they will better at it than us.

via Slashdot by samzenpus on 8/4/10


jamie writes “Researchers have turned the biochemical challenge of figuring out protein folding structures into a computer game. The best players can beat a computerized algorithm by rapidly recognizing problems that the computer can’t fix. From the article: ‘By tracing the actions of the best players, the authors were able to figure out how the humans’ excellent pattern recognition abilities gave them an edge over the computer. For example, people were very good about detecting a hydrophobic amino acid when it stuck out from the protein’s surface, instead of being buried internally, and they were willing to rearrange the structure’s internals in order to tuck the offending amino acid back inside. Those sorts of extensive rearrangements were beyond Rosetta’s abilities, since the energy changes involved in the transitions are so large.'”

Read more of this story at Slashdot.

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