MoleculeGo 4+
Alonso Morcos
Designad för iPad
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- Gratis
Skärmavbilder
Beskrivning
MoleculeGo is a location based app that gamifies the process of learning about molecular biology. In this game, the player collects amino acids, ATP, and DNA sequences, the molecular building blocks used to synthesize proteins. By capturing DNA sequences, the player discovers genes that encode for proteins. These genes provide the user with the necessary "recipe" to synthesize proteins in their own lab, using amino acids and ATP. These proteins can then be combined to construct even larger protein complexes. As the player progresses in the game, new molecules become available and information will become available about each molecule's basic function and how its structure is associated with its molecular role. Players can visit hotspots (schools, parks, hospitals, universities, etc.) to accelerate the discovery of new molecules. While molecules are discovered, players can learn how they are involved in disease, biomedical applications, research, and their function in the cell.
Nyheter
Version 3.1.6
- New molecules added to the Cas9 pathway
- Amino acids can now be exchanged in Printer
- Improved, location based spawning algorithm
- Bug fixes and other minor improvements
Appintegritet
Utvecklaren Alonso Morcos har angett att appens integritetsrutiner kan inkludera hantering av data enligt beskrivningen nedan. Det finns mer information i utvecklarens integritetspolicy.
Data samlas inte in
Utvecklaren samlar inte in några data från den här appen.
Sekretessriktlinjer kan variera, till exempel utifrån de funktioner du använder eller din ålder. Läs mer
Information
- Leverantör
- Alonso Morcos
- Storlek
- 66,7 MB
- Kategori
- Utbildning
- Kompatibilitet
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- iPhone
- Kräver iOS 13.0 eller senare.
- iPad
- Kräver iPadOS 13.0 eller senare.
- iPod touch
- Kräver iOS 13.0 eller senare.
- Mac
- Kräver macOS 11.0 eller senare och en Mac med Apple M1‑chip eller senare.
- Apple Vision
- Kräver visionOS 1.0 eller senare.
- Språk
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engelska
- Ålder
- 4+
- Copyright
- © 2022 - Evolutionary Information Lab @ UTD
- Pris
- Gratis