Foldit Puzzles
Play puzzles to help scientific research and compete with other players. New puzzles are posted every week.
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This is a throwback puzzle to the early days of Foldit. This domain is part of a T-cell receptor that recognizes pathogens in the body; the starting structure is a Rosetta model. This protein contains two cysteine residues which oxidize to form one disulfide bond. We are revisiting old Foldit puzzles so we can see how useful the recent additions to the game have been and to provide newer players with problems that are still scientifically relevant.
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Design a binding pocket for the cAMP ligand! This puzzle enables AlphaFold predictions for your binder design, so you can upload your solution for AlphaFold using the AlphaFold prediction tool. AlphaFold will predict the structure of your binder only (i.e. in the absence of the ligand). If you load this prediction, then Foldit will attempt to align the prediction with your solution. We are looking for designs where the raw AlphaFold prediction has a binding pocket that fits the ligand!
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Compete in a challenge to design a drug targeting the SARS-CoV-2 helicase. Use the small molecule design tools and the compound library panel to find library compounds which bind to the active site of the enzyme.
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The structure of this protein has already been solved and published, but close inspection suggests that there are some problems with the published solution. We'd like to see if Foldit players can use the same electron density data to reconstruct a better model.
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Design a protein that can bind to the monkeypox H3 target! AlphaFold predictions are available for your designed binder. Once you've designed a binder for the target, upload your solution for AlphaFold using the AlphaFold prediction tool. AlphaFold will predict the structure of your binder chain only (i.e. in the unbound state, in the absence of the target). If you load this prediction, then Foldit will attempt to align the prediction with your solution (i.e. in the bound state, making an interface with the target). If you continue working off of the AlphaFold prediction, you may need to make adjustments at the interface where the binder interacts with the target.
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Compete in a challenge to design a drug targeting the SARS-CoV-2 helicase. Use the small molecule design tools and the compound library panel to find library compounds which bind to the active site of the enzyme.
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This is a throwback puzzle to the early days of Foldit. This pilin protein allows the P. aeruginosa bacterium to adhere to human cells, sometimes resulting in infection. The starting structure is a Rosetta model. This protein contains two cysteine residues which oxidize to form one disulfide bond. We are revisiting old Foldit puzzles so we can see how useful the recent additions to the game have been and to provide newer players with puzzles that are still scientifically relevant.
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Design a protein that can bind to the BMPR target! AlphaFold predictions are available for your designed binder. Once you've designed a binder for the target, upload your solution for AlphaFold using the AlphaFold prediction tool. AlphaFold will predict the structure of your binder chain only (i.e. in the unbound state, in the absence of the target). If you load this prediction, then Foldit will attempt to align the prediction with your solution (i.e. in the bound state, making an interface with the target). If you continue working off of the AlphaFold prediction, you may need to make adjustments at the interface where the binder interacts with the target.
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This sandbox puzzle features a strand binder design by Bruno Kestemont and ichwilldiesennamen from Puzzle 2187. This design boasts a 100% satisfied H-bond network that should make our binder very specific and keep it from sticking to off-target strands. For more, check out Foldit Lab Report #36 on YouTube! This sandbox puzzle is non-competitive and will not award any points.
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Compete in a challenge to design a drug targeting the SARS-CoV-2 helicase. Use the small molecule design tools and the compound library panel to find library compounds which bind to the active site of the enzyme.