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Beginner Puzzle (<150): Coronavirus
Status: Closed

Summary

Name: Beginner Puzzle (<150): Coronavirus
Status: Closed
Created: 03/03/2020
Points: 100
Expired: 03/25/2021 - 23:00
Difficulty: Beginner
Description: Design a protein binder against coronavirus! The starting structure shows how the coronavirus spike protein binds to a human receptor protein. The coronavirus protein (in gray) is mostly frozen, except for the orange and blue sidechains at the binding site. The binding site of coronavirus sticks to the human protein (in color), and this allows the coronavirus to infect human cells. We want to design a new protein that can bind to coronavirus more tightly than the human protein! A tight binder could block the normal coronavirus-human interaction, and might be used as an antiviral drug against coronavirus! Refold and mutate the starting structure to increase your score and improve binding against coronavirus!

START HERE:

If you are new to Foldit, here are detailed instructions to get you started:
http://fold.it/portal/node/988864
_____________________________

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Categories: Beginner

Top Groups

RankGroupScorePoints
1Texas Tech Red Folders13,624100
2Go Science13,62087
3Gargleblasters13,58475
4L'Alliance Francophone13,36764
5Italiani Al Lavoro13,35855

Top Soloists

RankPlayerGroupScorePoints
1NilsHolgersson 89 79  13,685100
2wolekw 89 255  13,673100
3SiberianHusky 89 143  13,63399
4rbsutton 89 151 Texas Tech Red Folders13,62498
5abiogenesis 89 32 Go Science13,62097


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Comments

Vincero's picture
User offline. Last seen 8 hours 15 min ago. Offline
Joined: 02/14/2010
Recommended Recipe: AILearns nCoV

This solution scores optimally on Beginner-level Coronavirus puzzle:
https://fold.it/portal/recipe/103758

Dudit's picture
User offline. Last seen 6 hours 50 min ago. Offline
Joined: 12/26/2016
Groups: Go Science
Tips on Beginner Puzzle Coronavirus

Start at Clashing Importance of 0.33 -> 0.66 -> 1.00
Start at Wiggle Power Low -> Med -> Auto

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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, Amazon, Microsoft, Adobe, RosettaCommons