36:
437:
266:, a protein research scientist at the University of Washington, founded the Foldit project. Seth Cooper was the lead game designer. Before starting the project, Baker and his laboratory coworkers relied on another research project named Rosetta to predict the native structures of various proteins using special computer
508:
is calculated based on how well-folded the protein is, and a list of high scores for each puzzle is maintained. Foldit users may create and join groups, and members of groups can share puzzle solutions. Groups have been found to be useful in training new players. A separate list of group high scores
534:
credited Foldit's 57,000 players with providing useful results that matched or outperformed algorithmically computed solutions, stating "layers working collaboratively develop a rich assortment of new strategies and algorithms; unlike computational approaches, they explore not only conformational
393:
Similarly to
Rosetta@home, Foldit is a means to discover native protein structures faster through distributed computing. However, Foldit has a greater emphasis on community collaboration through its forums, where users can collaborate on certain folds. Furthermore, Foldit's crowdsourced approach
629:
detailed a "crystallographic model-building competition between trained crystallographers, undergraduate students, Foldit players and automatic model-building algorithms" in which "a team of Foldit players achieved the most accurate structure" fitting a protein to the results of an
709:
Foldit's toolbox is mainly for the design of protein molecules. The game's creator announced the plan to add, by 2013, the chemical building blocks of organic subcomponents to enable players to design small molecules. The small molecule design system termed
414:
abilities to help solve the problem of protein structure prediction. 2016 puzzles are based on well-understood proteins. By analysing how humans intuitively approach these puzzles, researchers hope to improve the algorithms used by protein-folding software.
544:
compared "recipes" developed by Foldit players to
Rosetta scripts developed by members of the Baker Lab at the University of Washington. The player-developed "Blue Fuse" recipe compared favorably with the scientists' "Fast Relax"
422:
where users manipulate simple protein-like structures and a periodically updated set of puzzles based on real proteins. It shows a graphical representation of each protein which users can manipulate using a set of tools.
327:) experiments, submitting its best solutions to targets based on unknown protein structures. CASP is an international program to assess methods of protein structure prediction and identify those that are most productive.
695:
reported how Foldit players were able to "build protein structures into crystallographic, high-resolution maps more accurately than expert crystallographers or automated model-building algorithms" using data from
394:
places a greater emphasis on the user. Foldit's virtual interaction and gamification create a unique and innovative environment with the potential to greatly advance protein folding research.
520:
Foldit players have been cited collectively as "Foldit players" or "Players, F." in some cases. Individual players have also been listed as authors on at least one paper, and on four related
1823:
767:
1858:
1717:
497:
Foldit's developers wanted to attract as many people as possible to the cause of protein folding. So, rather than only building a useful science tool, they used
1828:
300:, but could not interact with the program. Hoping that humans could improve the computers' attempts to solve protein structures, Baker approached
1818:
616:
computationally designed the enzyme from scratch but found its potency needed improvement. Foldit players reengineered the enzyme by adding 13
787:
571:-like symptoms, a scientific problem that had been unsolved for 15 years. While the puzzle was available for three weeks, players produced a
347:. Identifying natural proteins' structural configurations enables scientists to understand them better. This can lead to creating novel
715:
1068:
484:
304:
and Zoran Popović, computer science professors at the same university, to help conceptualize and build an interactive program, a
1553:"An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12"
249:
credited Foldit's 57,000 players with providing useful results that matched or outperformed algorithmically computed solutions.
953:
27:
239:) that can be applied to relevant proteins in the real world. Scientists can then use these solutions to target and eradicate
1833:
462:
697:
374:. However, determining how a given protein's primary structure becomes a functioning three-dimensional structure, how the
782:
757:
656:
described the analysis of proteins designed by Foldit players. Four player-designed proteins were successfully grown in
267:
1813:
381:, is more difficult. The general process is understood, but predicting a protein's eventual, functioning structure is
317:
81:
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447:
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451:
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719:
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Czech, Dutch, English, French, German, Hebrew, Indonesian, Italian, Polish, Romanian, Russian, Spanish, Scientist
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solutions are analyzed by researchers, who determine whether or not there is a native structural configuration (
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605:
263:
220:
51:
973:
458:
323:
Since 2008, Foldit has participated in
Critical Assessment of Techniques for Protein Structure Prediction (
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718:(VHL). Results of the VHL experiment were presented in a March 2023 preprint paper and at an August 2023
1853:
663:
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274:
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Horowitz S, Koepnick B, Martin R, Tymieniecki A, Winburn AA, Cooper S, et al. (September 2016).
1212:
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Horowitz S, Koepnick B, Martin R, Tymieniecki A, Winburn AA, Cooper S, et al. (September 2016).
1155:
882:
572:
367:
177:
956:
184:
1368:
Gilski M, Kazmierczyk M, Krzywda S, Zábranská H, Cooper S, Popović Z, et al. (November 2011).
1072:
601:
588:
156:
1551:
Keasar C, McGuffin LJ, Wallner B, Chopra G, Adhikari B, Bhattacharya D, et al. (July 2018).
762:
643:
reviewed the collaboration between Foldit players and teams in the WeFold consortium in biennial
290:
1319:
Khatib F, DiMaio F, Cooper S, Kazmierczyk M, Gilski M, Krzywda S, et al. (September 2011).
1142:
Rocklin GJ, Chidyausiku TM, Goreshnik I, Ford A, Houliston S, Lemak A, et al. (July 2017).
501:(the inclusion of gaming elements) to make Foldit appealing and engaging to the general public.
1665:
Khatib F, Desfosses A, Koepnick B, Flatten J, Popović Z, Baker D, et al. (November 2019).
1698:
1667:"Building de novo cryo-electron microscopy structures collaboratively with citizen scientists"
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1321:"Crystal structure of a monomeric retroviral protease solved by protein folding game players"
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1163:
1144:"Global analysis of protein folding using massively parallel design, synthesis, and testing"
1114:
1106:
1095:"Reducing the computational complexity of protein folding via fragment folding and assembly"
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1445:"Increased Diels-Alderase activity through backbone remodeling guided by Foldit players"
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Eiben CB, Siegel JB, Bale JB, Cooper S, Khatib F, Shen BW, et al. (January 2012).
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Cooper S, Khatib F, Treuille A, Barbero J, Lee J, Beenen M, et al. (August 2010).
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348:
336:
104:
87:
1268:
Khatib F, Cooper S, Tyka MD, Xu K, Makedon I, Popovic Z, et al. (November 2011).
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reported that Foldit gamers achieved the first crowdsourced redesign of a protein, an
308:, that would appeal to the public and help efforts to find native protein structures.
1787:
1608:
Koepnick B, Flatten J, Husain T, Ford A, Silva DA, Bick MJ, et al. (June 2019).
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351:, advances in treating disease, and solutions for other real-world problems such as
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35:
1419:"Gamers Decode AIDS Protein That Stumped Researchers For 15 Years In Just 3 Weeks"
1046:
957:"Protein-folding game taps power of worldwide audience to solve difficult puzzles"
335:
Protein structure prediction is important in several fields of science, including
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959:
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403:
382:
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Proceedings of the
National Academy of Sciences of the United States of America
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Results from Foldit have been included in a number of scientific publications.
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1385:
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553:
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Many of the same people who created
Rosetta@home worked on Foldit. The public
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46:
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The process by which living beings create the primary structure of proteins,
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Screenshot of the Foldit application showing a folding puzzle in progress
1518:
1370:"High-resolution structure of a retroviral protease folded as a monomer"
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26:
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is maintained, as well as two leaderboards for groups and individuals.
370:, is reasonably well understood, as is the means by which proteins are
243:
and create biological innovations. A 2010 paper in the science journal
240:
228:
1336:
1258:. (n.d.). Retrieved August 23, 2024, from https://fold.it/leaderboards
823:
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679:
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Some
Rosetta@home users became frustrated when they saw ways to solve
223:, Center for Game Science, in collaboration with the UW Department of
1759:"Drugit: Crowd-sourcing molecular design of non-peptidic VHL binders"
1494:"Determining crystal structures through crowdsourcing and coursework"
1460:
1201:"Determining crystal structures through crowdsourcing and coursework"
742:
593:
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320:
version was released in May 2008 and has 240,000 registered players.
209:
864:
862:
1047:"Computer game's high score could earn the Nobel Prize in medicine"
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356:
219:. It is part of an experimental research project developed by the
116:
112:
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540:
324:
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as perfectly as possible, using tools provided in the game. The
227:. The objective of Foldit is to fold the structures of selected
1069:"Online Gamers Achieve First Crowd-Sourced Redesign of Protein"
842:"In a Video Game, Tackling the Complexities of Protein Folding"
871:"Predicting protein structures with a multiplayer online game"
430:
1374:
1718:"FoldIt game's next play: crowdsourcing better drug design"
927:"Rosetta Commons: The hub for Rosetta modeling software"
535:
space but also the space of possible search strategies".
768:
Comparison of software for molecular mechanics modeling
1093:
Haspel N, Tsai CJ, Wolfson H, Nussinov R (June 2003).
273:. Rosetta was eventually extended to use the power of
1270:"Algorithm discovery by protein folding game players"
54:, Center for Game Science, Department of Biochemistry
824:
University of
Washington, Department of Biochemistry
189:
171:
155:
135:
122:
98:
80:
58:
45:
1775:
285:, and displayed its protein-folding progress as a
194:
813:University of Washington, Center for Game Science
620:, increasing its activity by more than 18 times.
1824:Lua (programming language)-scripted video games
1610:"De novo protein design by citizen scientists"
579:in only ten days that is accurate enough for
8:
1741:"VHL puzzle series paper preprint released!"
548:In 2011, Foldit players helped decipher the
19:
1002:"Gamers Unravel the Secret Life of Protein"
465:. Unsourced material may be challenged and
1859:Video games developed in the United States
34:
25:
18:
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1325:Nature Structural & Molecular Biology
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902:
485:Learn how and when to remove this message
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504:As a protein structure is modified, a
281:program was made available for public
788:Protein structure prediction software
289:. Its results were sent to a central
7:
949:
947:
528:An August 2010 paper in the journal
463:adding citations to reliable sources
1829:Structural bioinformatics software
716:Von Hippel-Lindau tumor suppressor
608:in the Center for Game Science at
14:
1739:Moretti, Rocco (March 15, 2023).
974:"Biologists Enlist Online Gamers"
666:. The proteins were added to the
689:In November 2019, an article in
435:
183:for academic and non-profit use
1067:Marshall J (January 22, 2012).
954:Howard Hughes Medical Institute
647:competitions CASP11 and CASP12.
1:
1819:Human-based computation games
402:Foldit attempts to apply the
1716:Hersher R (April 13, 2012).
1684:10.1371/journal.pbio.3000472
840:Markoff J (10 August 2010).
783:Protein structure prediction
758:Human-based computation game
623:A September 2016 article in
418:Foldit includes a series of
268:protein structure prediction
1417:Praetorius D (2011-09-19).
538:A November 2011 article in
1875:
1577:10.1038/s41598-018-26812-8
1634:10.1038/s41586-019-1274-4
1386:10.1107/S0907444911035943
1000:Bohannon J (2009-04-20).
720:American Chemical Society
561:Mason-Pfizer monkey virus
143:
94:
76:
33:
24:
1050:University of Washington
972:Bourzac K (2008-05-08).
610:University of Washington
221:University of Washington
52:University of Washington
1776:official Foldit website
1287:10.1073/pnas.1115898108
1168:10.1126/science.aan0693
637:A July 2018 article in
662:and then "solved" via
650:A June 2019 letter in
64:; 16 years ago
1834:Computational biology
1498:Nature Communications
1205:Nature Communications
664:X-ray crystallography
640:Nature Communications
632:X-ray crystallography
626:Nature Communications
598:Diels–Alder reactions
581:molecular replacement
406:'s three-dimensional
275:distributed computing
1449:Nature Biotechnology
722:conference session.
459:improve this section
368:protein biosynthesis
1626:2019Natur.570..390K
1569:2018NatSR...8.9939K
1519:10.1038/ncomms12549
1510:2016NatCo...712549H
1423:The Huffington Post
1225:10.1038/ncomms12549
1217:2016NatCo...712549H
1160:2017Sci...357..168R
1073:Scientific American
895:10.1038/nature09304
887:2010Natur.466..756C
604:. A team including
602:synthetic chemistry
596:that catalysed the
589:Scientific American
398:Virtual interaction
21:
1814:Puzzle video games
1557:Scientific Reports
1111:10.1110/ps.0232903
931:RosettaCommons.org
846:The New York Times
763:Molecular graphics
714:was tested on the
705:Future development
563:(M-PMV), a monkey
349:proteins by design
298:protein structures
293:for verification.
1849:Protein structure
1839:Molecular biology
1620:(7761): 390–394.
1380:(Pt 11): 907–14.
1337:10.1038/nsmb.2119
1154:(6347): 168–175.
979:Technology Review
668:Protein Data Bank
586:In January 2012,
550:crystal structure
522:Protein Data Bank
495:
494:
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412:spatial reasoning
341:molecular biology
213:puzzle video game
203:
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162:Puzzle video game
146:List of languages
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1794:2008 video games
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353:invasive species
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100:Operating system
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62:May 8, 2008
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1099:Protein Science
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600:widely used in
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82:Preview release
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960:Eurekalert!
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404:human brain
385:demanding.
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271:algorithms
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