Placeholder image of a protein
Icon representing a puzzle

2192: Monkeypox H3 Binder Design: Round 2

Closed since over 3 years ago

Intermediate Overall Design

Summary


Created
August 26, 2022
Expires
Max points
100
Description

Design a protein that can bind to the monkeypox H3 protein! AlphaFold predictions are available for your designed binder. Once you've designed a binder for the target, upload your solution for AlphaFold using the AlphaFold prediction tool. AlphaFold will predict the structure of your binder chain only (i.e. in the unbound state, in the absence of the target). If you load this prediction, then Foldit will attempt to align the prediction with your solution (i.e. in the bound state, making an interface with the target). If you continue working off of the AlphaFold prediction, you may need to make adjustments at the interface where the binder interacts with the target.



The monkeypox H3 protein is displayed on the surface of the virus. The complete role of H3 is still unclear, but it seems to be involved in the recognition of human cells. A binder for H3 could be useful for detecting monkeypox, and might even help to block infection. Scientists have yet to solve the structure of the monkeypox H3 protein, although we do have a crystal structure of a related protein from Vaccinia virus. The structure of the target in this puzzle comes from an AlphaFold prediction of monkeypox H3.



In this puzzle, we've presented a portion of the H3 target with several exposed hydrophobic residues, which we think will be good for binding. The backbone and most of the sidechains are frozen, except at the binding site, where flexible sidechains are shown in color. Players can design a new protein that can bind to these sidechains on the target. In order to bind the target, designs will need to make lots of hydrophobic contacts and satisfy any polar atoms that are buried at the interface. But designs will also need to have lots of secondary structure (helices or sheets) and a large core, so that they fold up correctly! See the puzzle comments for Objective details.

Top groups


  1. Avatar for Go Science 100 pts. 13,984
  2. Avatar for Anthropic Dreams 2. Anthropic Dreams 63 pts. 13,743
  3. Avatar for Gargleblasters 3. Gargleblasters 37 pts. 13,716
  4. Avatar for Contenders 4. Contenders 21 pts. 13,684
  5. Avatar for Marvin's bunch 5. Marvin's bunch 11 pts. 13,614
  6. Avatar for Void Crushers 6. Void Crushers 5 pts. 13,272
  7. Avatar for Australia 7. Australia 2 pts. 13,010
  8. Avatar for L'Alliance Francophone 8. L'Alliance Francophone 1 pt. 12,669
  9. Avatar for SETI.Germany 9. SETI.Germany 1 pt. 10,325
  10. Avatar for Beta Folders 10. Beta Folders 1 pt. 8,104

  1. Avatar for abiogenesis 21. abiogenesis Lv 1 28 pts. 13,285
  2. Avatar for Timo van der Laan 22. Timo van der Laan Lv 1 26 pts. 13,272
  3. Avatar for phi16 23. phi16 Lv 1 24 pts. 13,266
  4. Avatar for BootsMcGraw 24. BootsMcGraw Lv 1 22 pts. 13,231
  5. Avatar for MrZanav 25. MrZanav Lv 1 20 pts. 13,086
  6. Avatar for WBarme1234 26. WBarme1234 Lv 1 19 pts. 13,070
  7. Avatar for NinjaGreg 27. NinjaGreg Lv 1 17 pts. 13,036
  8. Avatar for Wiz kid 28. Wiz kid Lv 1 16 pts. 13,010
  9. Avatar for AlkiP0Ps 29. AlkiP0Ps Lv 1 15 pts. 12,867
  10. Avatar for ucad 30. ucad Lv 1 14 pts. 12,764

Comments


bkoep Staff Lv 1

DDG Metric (max +2000)
The predicted binding energy of your design. The goal DDG is -40.0 or less.

Contact Surface (max +2000)
Measures how much of your binder surface is in close contact with the target protein. The goal Contact Surface is 500 or more.

Buried Unsats (max +500)
Penalizes 20 points for each polar atom that cannot make any hydrogen bonds.

Core Existence (max +1500)
Ensures that at least 25 percent of residues are buried in the core of the monomer unit.

Interaction Energy (max +500)
Monitors that all large PHE, TYR, and TRP residues are scoring well.

Ideal Loops (max +500)
Penalizes any loop region that does not match one of the Building Blocks in the Blueprint tool. Use "Auto Structures" to see which regions of your protein count as loops.

SS Design (max +500)
Disabled use of CYS residues.

Neural Net (max +0)
Achieve an AlphaFold prediction confidence of 80% or more.