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000818349 0247_ $$2doi$$a10.1038/ncomms12549
000818349 0247_ $$2Handle$$a2128/12327
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000818349 037__ $$aFZJ-2016-04815
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000818349 1001_ $$0P:(DE-HGF)0$$aHorowitz, Scott$$b0$$eCorresponding author
000818349 245__ $$aDetermining crystal structures through crowdsourcing and coursework
000818349 260__ $$aLondon$$bNature Publishing Group$$c2016
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000818349 520__ $$aWe show here that computer game players can build high-quality crystal structures. Introduction of a new feature into the computer game Foldit allows players to build and real-space refine structures into electron density maps. To assess the usefulness of this feature, we held a crystallographic model-building competition between trained crystallographers, undergraduate students, Foldit players and automatic model-building algorithms. After removal of disordered residues, a team of Foldit players achieved the most accurate structure. Analysing the target protein of the competition, YPL067C, uncovered a new family of histidine triad proteins apparently involved in the prevention of amyloid toxicity. From this study, we conclude that crystallographers can utilize crowdsourcing to interpret electron density information and to produce structure solutions of the highest quality.
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