Contest Info

Name: CHE 8592 Greek Key Challenge 2019 v2.0
Type: Template
Owner: jakelmer
Start Date: 02/11/19
End Date: 02/26/19
Puzzle: Freestyle Design 40
Description:

In this challenge, your goal is to create a Greek Key motif (see image below) by mutating and manipulating a 40-residue long peptide in FoldIt.

To receive full credit, your protein must satisfy the following requirements:
• There must be 4 beta strands and 3 turns/loops (any length)
• The beta strands must be in the configuration shown above (4-1-2-3)
• One side of the beta sheet should be entirely hydrophobic, while the other is hydrophilic
• There must be a minimum of 9 hydrogen bonds between the beta strand backbones
• The final peptide must be continuous (no cuts)
• However, the protein does not have to be stable when you select “Wiggle All”
• Save and upload your final structure to the Group contest
• Send Dr. Elmer your final amino acid sequence in the following format:
o -strand 1 = xxxxxx (x = amino acid, starting with the first on the left)
o Turn 1 = xxx
o -strand 2 = xxxxxx
o ….and so on for the rest of the turn/loops/strands
o Total number of H-bonds = ? (I will be checking your structures)
Due Date = 2/18/19 (The contest will close after this date)
Here is a video walkthrough if you need additional guidance:
https://vums-web.villanova.edu/Mediasite/Play/c30ba88f95b84c2ea817a58e69f8f33b1d


Registered Contestants

UserScoresort icon
Fangyuan Zhang8738
ccoppol28325
Tianhua8137
bhess50048109
ntg9878047
CGerberich8035
BTimm7819
jwtaylor1047778
e.harris7765
robdorrycott7760
baustinc7751
SVeigne7741
kwoods87738
jenadaya7738
asmit1457738
Mkapica0
jguerra50

Registered Groups

Groupsort iconScore
Villanova ChE8738





Contest List
Get Started: Download
  Windows    OSX    Linux  
Windows
(7/8/10)
OSX
(10.7 or later)
Linux
(64-bit)

Are you new to Foldit? Click here.

Are you a student? Click here.

Are you an educator? Click here.
Search
Only search fold.it
Recommend Foldit
User login
Soloists
Evolvers
Groups
Topics
Top New Users
Sitemap

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, Amazon, Microsoft, Adobe, RosettaCommons