actiasluna
Global Soloist Rank: #9
Global Soloist Score: 2414

Profile

Name: actiasluna
Location: The DMV (Delaware, Maryland, Virginia)
Started Folding: 03/05/15
About me:

I work as a training quality analyst for the USPS with a graphic arts and instructional design (scripting in Captivate and SmartBuilder using actionscript and javascript, coding in HTML) background. I discovered Foldit while researching gamification for web based training. After an abortive start back in 2014 (I was terribly frustrated by the tutorials on my first try), I took another gamification course in 2015 and came back for more. This time the hook stuck, and I have been folding proteins ever since.

Hobbies: Old (The "iron age" late 1800s era) small printing presses and metal type
Group: Gargleblasters

Ranks

CategorySolo RankEvo Rank
66
75
710
129
2417
4030

Soloist Puzzle Scores

Evolver Puzzle Scores

Contests

ContestRankScoreLast Played
Test your PC power48/539,62310/18/15
GTPase Ras Long b [Open to all] [Open discussion]136/1377,81001/01/16
The Marathon of Foldit - New Chapter57/11114,18010/01/16

Achievements

Junior Soloist
Achieved Soloist rank 30 or better in at least 5 puzzles
 
Veteran Soloist
Achieved Soloist rank 20 or better in at least 10 puzzles
 
Master Soloist
Achieved Soloist rank 10 or better in at least 15 puzzles
 
Junior Evolver
Achieved Evolver rank 30 or better in at least 5 puzzles
 
Veteran Evolver
Achieved Evolver rank 20 or better in at least 10 puzzles
 
Master Evolver
Achieved Evolver rank 10 or better in at least 15 puzzles
 
Baby Steps
Complete ten moves
 
Step Routine
Complete one hundred moves
 
Moving Up
Complete one thousand moves
 
Professional Mover
Complete ten thousand moves
 
Mover and Shaker
Complete one hundred thousand moves
 
Perpetual Motion Machine
Complete one million moves
 
Beyond Perpetual Motion
Complete ten million moves
 
Sidechains
Finish all of the 'Sidechains' intro puzzles
 
Backbone Packing
Finish all of the 'Backbone Packing' intro puzzles
 

...

...
 


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

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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