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How did a three-week gaming challenge help unlock a protein structure?
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In 2011, a three-week Foldit challenge helped scientists determine the structure of a protein from the Mason–Pfizer monkey virus. Attempts using molecular replacement had failed for more than a decade. That method uses a sufficiently similar model to help interpret X-ray diffraction data from a crystal. Players did not start from scratch: they received ten existing models derived from nuclear magnetic resonance experiments. Their task was to reshape these starting points into something more useful. The breakthrough therefore came from giving a difficult modelling problem a playable interface—not from replacing years of laboratory work with a game.
Foldit let players manipulate three-dimensional protein models while using Rosetta computational tools. Lower calculated energy meant a higher game score, giving teams a shared objective as they collaborated internally and competed with others. Members of the Foldit Contenders Group could one another's work: successive changes to a strand, the protein's core and a loop in a model suitable for molecular replacement. The reward extended beyond the leaderboard. The Foldit Contenders Group and Foldit Void Crushers Group appeared in the research paper's author list, with their gameplay explicitly credited as a contribution to the research results.
Scientists still had to validate and finish the structure using experimental X-ray diffraction data and established refinement methods. This was a monkey-virus protein, not HIV, and the work offered clues for drug design rather than a treatment. Nor did the players outperform the best methods across every template-based target in the paper's wider assessment. Yet the approach has had a continuing application: a study published in October 2025 reported that Foldit players improved existing experimental protein models in the Protein Data Bank. Its significance lies in that division of labour: game design can make non-specialist contributions scientifically useful without making specialist expertise .