puzzle picture
Beginner Puzzle 20: Alignment Tool
Status: Closed


Name: Beginner Puzzle 20: Alignment Tool
Status: Closed
Created: 05/19/2010
Points: 100
Expired: 06/20/2010 - 23:00
Difficulty: Beginner
Description: We would like to welcome all the new folders that have joined us! This puzzle (for beginners who have recently finished the tutorial levels) will help you practice using the alignment tool which is very important in all the CASP competition puzzles. This beginner puzzle has the native solved structure shown as a guide to help you. Try to match the guide using the alignment tool and welcome to Foldit! Additional hints are in the puzzle comments: http://fold.it/portal/node/987725

Top Groups

1Anthropic Dreams11,675100
3Russian team11,43370
4Another Hour Another Point11,37258
5Richard Dawkins Foundation11,35548

Top Evolvers

1Endoplasmic&nbs... 51 1401 Anthropic Dreams11,164100
2Calzilla 51 1401 Anthropic Dreams11,148100
3The Eye 51 1401  10,29199
4Astrood 51 1401  9,86098

Top Soloists

Need this puzzle? Log in to download.  


beta_helix's picture
User offline. Last seen 1 week 6 days ago. Offline
Joined: 05/09/2008
Groups: None
Some hints for this Beginner Puzzle

First of all, make sure you have completed the following Intro Levels: 1-1 through 3-4 and 7-1 through 7-4, before trying to play this puzzle.

Once you have loaded this puzzle, click on "Show Alignment" to bring up the alignment tool.

This will bring up the sequence for the protein you are trying to solve (the letters on top) as well as the template sequence on the bottom (of a similar structure that you will thread your sequence onto).

You can move the letters around, trying to get rid of as many gaps as you can and maximizing the white blocks between the two sequences (which represents a good match).

Once you have an alignment that you like you can click on the SMILEY FACE to thread. This will take a while but if it is able to thread you will have a new structure to work on.

Make sure to click Align Guide (under Actions) after you have successfully threaded so that you can see how close you are to the native solution.

Also, once you have threaded successfully you will want to shake & wiggle sidechains (because you are threading your new sequence onto a protein that had different sidechains, so there will be many clashes) before you try to wiggle all.

If you are having trouble matching the native, you can learn some more expert tools in the following intro levels: 4-1 to 4-5.

Feel free to post any questions about this puzzle here in the puzzle comments!

Joined: 05/19/2010
Groups: None
Alignment Question

So, the where does the score on the Alignment Page fit in? If I try and get the highest score possible by moving the top chain around, I end up with large gaps, and moving the lower letters around doesn't help. So, how do I get a better match? By comparing versus the shadow of the original protein?

beta_helix's picture
User offline. Last seen 1 week 6 days ago. Offline
Joined: 05/09/2008
Groups: None
There is no easy answer

Hello GreatGreyhounds,

Unfortunately the alignment score is not perfect and is probably most useful for comparing different templates (to see which alignment to the query is giving you a better score).

The alignment score is based on BLOSUM (more info about that here if you are interested: http://en.wikipedia.org/wiki/BLOSUM) but basically what you are trying to is to minimize the number of gaps while trying maximize the alignment score.

In general, having 1 long gap is better than having a bunch of short gaps and this should be reflected in the score.

Definitely try comparing your threaded model to the native guide (once you've threaded it) and see if it seems closer to it than a different thread.

I hope you saw our new wiki page on the newest Alignment Tool:


User login
Download links:
  Windows    OSX    Linux  
(10.12 or later)

Are you new to Foldit? Click here.

Are you a student? Click here.

Are you an educator? Click here.
Social Media

Only search fold.it
Other Games: Mozak
Recommend Foldit
Top New Users

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, Boehringer Ingelheim, RosettaCommons