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.
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.
> I wonder if there's a way to ease the difficulty by filling in 'correct' features of the guesses
Rather than allowing players to guess individual features, I opted for the "highlight" system where all hidden features that match your guessed protein's features get auto-revealed. This way, if you suspect a transmembrane protein, you can just guess a known transmembrane protein and see which features auto-reveal.
> it would have been interesting to sift through classes or cell types
You're welcome to suggest databases with good coverage over the proteome that I could use for these.
> I presume you're showing even the 'low confidence' portions of the predicted structure?
Yes, any residues in the files I fetch get rendered. I rank by coverage before fetching.
> You could also show the primary amino acid sequence too
I'll consider it.
But seriously, there probably are a few people who can see genes from proteins like that, faster than a whole datacenter of GPUs. Putting together such a brain trust could be invaluable.
Making a nice-looking web GUI without knowing relevant vocabulary was a very clunky process in comparison to code pipelines, basically just pasting screenshots into the chat window and asking LLMs to "line up stuff properly", which they still couldn't manage to do in places.
You could start with popular gene names.
There's almost 20k entries in my human gene database. You can choose any of them as your guess, but the "gene of the day" is chosen from a subset that has decent 3D structure coverage (meaning, not falling back to alphafold2 for visualization).
How can I enable practice mode? I just see "Practice Mode OFF" on the right, but nothing to click on. Does practice mode have infinite hints and guesses? That would be nice for people like me who know very little about proteins.
If you're interested to learn more about proteins, I suggest asking an in-browser LLM like Claude Chrome to play and explain its guesses at your preferred level of familiarity. https://claude.com/chrome
GeneGuesserIt