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EteRNA

Eterna · RAWG · Courtesy of RAWG

EntityQ5384198· pop 5· linked from 6 articles

Eterna is a browser-based "game with a purpose", developed by scientists at Carnegie Mellon University and Stanford University, that engages users to solve puzzles related to the folding of RNA molecules. The project is supported by the Bill and Melinda Gates Foundation, Stanford University, and the National Institutes of Health. Prior funders include the National Science Foundation.

Game data

Released
2020-07-07
User rating
0.00 / 5
Genres
Simulation, Puzzle
Platforms
PC

via RAWG

Game details · IGDB

A citizen science puzzle game about RNA folding.

Released
2011
Genres
Puzzle
Platforms
Web browser, Android, iOS
Engine
PixiJS

Wikidata facts

Official website
eternagame.org
Show 2 more facts
inception
2010-01-01
publication date
2010-00-00
Sources (6)

via Wikidata · CC0

~9 min read

Article

9 sections
Contents
  • Gameplay
  • Biomedical challenges
  • Synthetic biology
  • Accomplishments
  • Direct player contribution
  • Algorithmic improvements based on human plays
  • See also
  • References
  • External links

Eterna is a browser-based "game with a purpose", developed by scientists at Carnegie Mellon University and Stanford University, that engages users to solve puzzles related to the folding of RNA molecules. The project is supported by the Bill and Melinda Gates Foundation, Stanford University, and the National Institutes of Health. Prior funders include the National Science Foundation.

Similar to Foldit—created by some of the same researchers that developed Eterna—the puzzles take advantage of human problem-solving capabilities to solve puzzles that are computationally laborious for current computer models. The researchers hope to capitalize on "crowdsourcing" and the collective intelligence of Eterna players to answer fundamental questions about RNA folding mechanics. The top voted designs are synthesized in a Stanford biochemistry lab to evaluate the folding patterns of the RNA molecules to compare directly with the computer predictions, ultimately improving the computer models.

Available in 5 languages

via Wikidata sitelinks · CC0

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