I made a web game inspired by Geoguessr and Wordle, where you get shown a 3D model of a random human protein each day, and you have to triangulate its gene name using similarity clues.
My background is in wet lab molecular biology and I intend this game to be engaging mostly to other biologists. But if you're outside the field, I'm interested to know if you can still solve it with browser use LLMs, and if you learned something interesting doing so. Let me know what you think.
I made it with Claude over the last 2 months. My coding experience is limited to basic python data analysis and figure making. I've seen people online asking, "Now that we have coding AI, why isn't there a deluge of awesome AI-generated apps made by non-coders?" - if this sounds like you, check out Geneguessr to understand what a web app by a non-coder looks like.
I might write more about the process if there's a demand, but what really unlocked the project for Claude was Linear MCP, where it could put each individual issue on a shared Kanban board. This, and Playwright MCP for testing on live site, were the two workhorses that got me through this. For bugs Claude couldn't one-shot, Linear was great for consolidating issue information so that I could dump it into ChatGPT Codex - it would usually think for like half an hour, output very confusing explanations, but the bug was gone.
Game is free, no log-in required, sorry if you run into any mobile bugs - didn't test it much there.
https://geneguessr.brinedew.bio/
I wonder if there's a way to ease the difficulty by filling in 'correct' features of the guesses: if your guess is a 'transmembrane' then it reveals that as a property. On the other hand, I don't think the annotations are clean enough - and are often designed for 'at all' rather than 'primary' features. For one of the examples, once I noticed it was an adhesion protein, it would have been interesting to sift through classes or cell types as opposed to just continuing to shoot in the dark based on the structure alone.
I presume you're showing even the 'low confidence' portions of the predicted structure? Please do.
You could also show the primary amino acid sequence too - there's a weird familiarity with those given how often the structures themselves have historically not been so accessible. BLASTING each of the guesses would be another interesting thing to see.
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