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1067: Unsolved VEGF protein: Domain 1

Closed since almost 11 years ago

Intermediate Overall Prediction

Summary


Created
March 19, 2015
Expires
Max points
100
Description

The first two puzzles for this protein were able to significantly improve the structure of domain 6 of this protein, so we are giving you a different domain this time, with 5 Zhang Server predictions as starting points. Resetting the puzzle will cycle through each model. We are giving you 2 weeks to work on this puzzle, so please try out each server start. Although one server model scores better than the rest initially, it might be the furthest from the native and might not get you the most points in the end! More info in the puzzle comments.

Top groups


  1. Avatar for :) 21. :) 1 pt. 8,230
  2. Avatar for Deleted group 22. Deleted group pts. 8,163
  3. Avatar for Deleted group 23. Deleted group pts. 8,156
  4. Avatar for Chem233W15 24. Chem233W15 1 pt. 8,132
  5. Avatar for It's over 9000! 25. It's over 9000! 1 pt. 8,129
  6. Avatar for Minions of TWIS 26. Minions of TWIS 1 pt. 8,107
  7. Avatar for Brony@Home 27. Brony@Home 1 pt. 8,063
  8. Avatar for FoldIt@Netherlands 28. FoldIt@Netherlands 1 pt. 8,038
  9. Avatar for Crunching Family 30. Crunching Family 1 pt. 7,930

  1. Avatar for Zer0Solutions 221. Zer0Solutions Lv 1 1 pt. 8,077
  2. Avatar for 341441 222. 341441 Lv 1 1 pt. 8,067
  3. Avatar for darioarena 223. darioarena Lv 1 1 pt. 8,066
  4. Avatar for Pagdzin 224. Pagdzin Lv 1 1 pt. 8,063
  5. Avatar for gamergater 225. gamergater Lv 1 1 pt. 8,060
  6. Avatar for momadoc 226. momadoc Lv 1 1 pt. 8,057
  7. Avatar for Proteinbars 227. Proteinbars Lv 1 1 pt. 8,056
  8. Avatar for Deleted player 228. Deleted player pts. 8,048
  9. Avatar for 5t1q6y 229. 5t1q6y Lv 1 1 pt. 8,043
  10. Avatar for seriousfoulj 230. seriousfoulj Lv 1 1 pt. 8,043

Comments


beta_helix Staff Lv 1

Please read the updated blog entry about this unsolved protein.
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The SAM server is still down, so here are the secondary structure predictions that were used for the starting chain:

The higher the number, the higher the confidence of the secondary structure prediction above it.
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Here is the link to the Zhang Server website (where you can find a lot more detailed info such as templates used and predicted per-residue accuracy for each model):
http://zhanglab.ccmb.med.umich.edu/I-TASSER/output/S218744