Training mRNA Language Models Across 25 Species for $165
108 points - last Wednesday at 8:38 PM
We built an end-to-end protein AI pipeline covering structure prediction, sequence design, and codon optimization. After comparing multiple transformer architectures for codon-level language modeling, CodonRoBERTa-large-v2 emerged as the clear winner with a perplexity of 4.10 and a Spearman CAI correlation of 0.40, significantly outperforming ModernBERT. We then scaled to 25 species, trained 4 production models in 55 GPU-hours, and built a species-conditioned system that no other open-source project offers. Complete results, architectural decisions, and runnable code below.
seamossfet
yesterday at 6:49 PM
The problem with models like this is they're built on very little actual training data we can trace back to verifiable protein data. The protein data back, and other sources of training data for stuff like this, has a lot of broken structures in them and "creative liberties" taken to infer a structure from instrument data. It's a very complex process that leaves a lot for interpretation.
On top of that, we don't have a clear understanding on how certain positions (conformations) of a structure affect underlying biological mechanisms.
Yes, these models can predict surprisingly accurate structures and sequences. Do we know if these outputs are biologically useful? Not quite.
This technology is amazing, don't get me wrong, but to the average person they might see this and wonder why we can't go full futurism and solve every pathology with models like these.
We've come a long way, but there's still a very very long way to go.
stardust2
yesterday at 9:17 PM
How do we get more verifiable protein data? So even if we had better data, we don't yet understand how the structure impacts the biology?
maziyar
last Wednesday at 8:38 PM
full article: https://huggingface.co/blog/OpenMed/training-mrna-models-25-...
xyz100
yesterday at 3:18 PM
What makes this dataset or problem worth solving compared to other health datasets? Would the results on this task be broadly useful to health?
CyberDildonics
yesterday at 4:44 PM
What other "datasets" are you talking about? How do you "solve a dataset" ?
colingauvin
yesterday at 8:07 PM
HN's blindspots never cease to amaze me.
I am a structural biologist working in pharmaceutical design and this type of thing could be wildly useful (if it works).
rubicon33
yesterday at 4:11 PM
Can someone explain what one might use this model for? As a developer with a casual interest in biology it would be fun to play with but honestly not sure what I would do
colechristensen
yesterday at 4:25 PM
You can get your feet wet with genetic engineering for surprisingly little money.
This guy shows a lot of how it's done: https://www.youtube.com/@thethoughtemporium
Basically you can design/edit/inject custom genes into things and see real results spending on the scale of $100-$1000.
someuser54541
yesterday at 4:40 PM
Is there something like this in text/readable format?
_zoltan_
yesterday at 7:12 PM
My main concern is using fungi. If it ends up in my lungs I'm most likely screwed, right?
colechristensen
yesterday at 8:20 PM
This is the classic meme https://www.reddit.com/r/labrats/comments/mmv2ig/lab_strains...
Lab strains of things tend to be extremely sensitive and not human adapted. You shouldn't study and modify human-infecting organisms in your basement anyway. While you shouldn't ignore protective equipment and proper procedure... paranoia about infecting yourself with a lab leak isn't warranted.
nurettin
yesterday at 8:02 PM
Yes, but most students produce their best work while infected.
khalic
yesterday at 3:28 PM
> In Progress: CodonJEPA
JEPA is going to break the whole industry :D
digdugdirk
yesterday at 3:50 PM
Can you explain this? I haven't heard of JEPA, and from a quick search it seems to be vision/robotics based?
khalic
yesterday at 4:42 PM
It’s a self supervised learning architecture, and it’s pretty much universal. The loss function runs on embeddings, and some other smart architectural choices allover. Worth diving into for a few hours, Yann LeCun gives some interesting talks about it
simianwords
yesterday at 3:28 PM
What makes these Domain specific models work when we don’t have good domain models for health care, chemistry, economics and so on
colechristensen
yesterday at 4:26 PM
>we don’t have good domain models for health care, chemistry, economics and so on
Who says we don't?
simianwords
yesterday at 4:38 PM
Examples please?
colechristensen
yesterday at 5:13 PM
No, it's really simple to search for domain specific models being used "in production" all over the place
simianwords
yesterday at 5:16 PM
I didn’t find a single one that outperforms a general model.
colechristensen
yesterday at 5:56 PM
Ok, alphafold.
simianwords
yesterday at 6:01 PM
It’s not a large language model
yieldcrv
yesterday at 4:12 PM
Distributing the load on this will probably be infinitely more useful than “folding at home”
HocusLocus
yesterday at 3:15 PM
gray goo of the future
skyskys
yesterday at 6:14 PM
hmmmm seems like some fake hype.