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FoldIt for Biochem 1090 2017
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Name: FoldIt for Biochem 1090 2017
Manager: Brendapeculis
Type: Moderated
Formed: 09/12
Description: learning tool for protein folding
Mission:

You will be using FoldIt, primarily out of class but occasionally in class. The intent is to reinforce concepts you learn in class and in your readings by helping you to visualize them in action in 3 dimensions

Fold-it was created by a group of scientists who realized that we do not yet know enough to predict protein structure, but that we can learn from trial-and-error experiences. You can choose to go on an “play the game” and aid that effort, but your ASSIGNMENT is to use the introductory tutorials to visualize in three dimensions the concepts that are presented in 2-dimensions in your text and that we talk about in class.
As you use these tutorials, pay special attention and try to :
• Identify the amino acids. Once you learn the structure of all 20 amino acids, it will be easier to understand the skeletal structure used in this game.
• Understand how the backbone and the side chains (R-groups) are moving and how they can “pack” together to make the protein smaller and more compact. What bonds rotate and how does this change the potential structure of the peptide chain?
• Visualize the hydrogen bonds that create secondary interactions and tertiary interactions.
• Be able to visualize secondary and tertiary order structure as you rotate the molecules in three dimensions.
• Understand how the R groups alter the packing of the peptide chain and visualize the interactions that occur between the R-groups.
• See how hydrophobic and hydrophilic R-groups position themselves within the folded protein.

• Foldit is a game about learning and scientific discovery. Enjoy the experience and have fun!
- BP

Ranks

CategoryGroup Rank

Puzzle Scores

PuzzleRankScorePointsLast Played
1435: Extra Large Monomer Design147,113110/06

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Developed by: UW Center for Game Science, UW Institute for Protein Design, Northeastern University, Vanderbilt University Meiler Lab, UC Davis
Supported by: DARPA, NSF, NIH, HHMI, Microsoft, Adobe, RosettaCommons