Foldit Puzzles
Play puzzles to help scientific research and compete with other players. New puzzles are posted every week.
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Design a protein that can bind to CD22! This puzzle has a reduced BUNS penalty so that players can focus on other Objectives--but don't forget about BUNS completely! This puzzle enables AlphaFold predictions 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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Design a symmetric protein pentamer, with 5 identical chains of 60 residues each! This puzzle enables AlphaFold predictions for the monomer subunit of your design, so you can upload your solution for AlphaFold using the AlphaFold prediction tool. AlphaFold will predict the structure of your monomer subunit only (i.e. in the unbound state, in the absence of other symmetric copies). If you load this prediction, then Foldit will attempt to align the prediction with your solution. If you continue working off of the AlphaFold prediction, you may need to make adjustments at the interface where the monomer subunit interacts with symmetric copies.
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This is a throwback puzzle to the early days of Foldit. This protein was evolved in vitro to bind testosterone; the starting structure is a model produced by Rosetta. This protein contains two cysteine residues, which oxidize to form a single 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 protein that can bind to CD47! This puzzle has a reduced BUNS penalty so that players can focus on other Objectives--but don't forget about BUNS completely! 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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Design a symmetric protein pentamer, with 5 identical chains of 90 residues each! This puzzle enables AlphaFold predictions for the monomer subunit of your design, so you can upload your solution for AlphaFold using the AlphaFold prediction tool. AlphaFold will predict the structure of your monomer subunit only (i.e. in the unbound state, in the absence of other symmetric copies). If you load this prediction, then Foldit will attempt to align the prediction with your solution. If you continue working off of the AlphaFold prediction, you may need to make adjustments at the interface where the monomer subunit interacts with symmetric copies.
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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. In addition to the protein chain, puzzle includes a glutathione ligand that is fixed in place.
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Design a protein that can bind to CD22! This puzzle has a reduced BUNS penalty so that players can focus on other Objectives--but don't forget about BUNS completely! This puzzle enables AlphaFold predictions 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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Design a symmetric protein pentamer, with 5 identical chains of 70 residues each! This puzzle enables AlphaFold predictions for the monomer subunit of your design, so you can upload your solution for AlphaFold using the AlphaFold prediction tool. AlphaFold will predict the structure of your monomer subunit only (i.e. in the unbound state, in the absence of other symmetric copies). If you load this prediction, then Foldit will attempt to align the prediction with your solution. If you continue working off of the AlphaFold prediction, you may need to make adjustments at the interface where the monomer subunit interacts with symmetric copies.
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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. In addition to the protein chain, puzzle includes a glutathione ligand that is fixed in place.
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Design a protein that can bind to CD47! This puzzle has a reduced BUNS penalty so that players can focus on other Objectives--but don't forget about BUNS completely! 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.