Ending genetic disease, starting with embryo selection
Joined November 2024
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A First Step Towards Interpretable Protein Structure Prediction
With SAEFold, we enable mechanistic interpretability on ESMFold, a protein structure prediction model, for the first time.
Watch @NithinParsan demo a case study here w/ links for paper & open-source code 👇
Infertility & pregnancy loss have lots of hidden costs. Not just financial too.
To help, we run a Facebook support group of 50k+ women going through IVF. Join here: facebook.com/groups/36719818…
wsj.com/lifestyle/careers/ho…
Couples with a family history of severe autism have been reaching out, hoping we could find a genetic cause to screen for.
But the genetic signal was always sparse.
Now our new work on rare variants & GPN-star has increased performance by over 50%.
Another step towards ending genetic disease.
Learn more: reticular.com/blog/genomic-a…
Technical blogpost: reticular.com/blog/genomic-a…
Kits starting at $399: reticular.com/pricing
This work builds on NeuroRisk from @herasight
and colleagues, and GPN-Star from @yun_s_song's group.
We extend the rare-variant representation and test its additional contribution in All of Us. Credit to both teams for the foundational research.
This work builds on NeuroRisk from @herasight and colleagues, and GPN-Star from @yun_s_song's group.
We extend the rare-variant representation and test its additional contribution in All of Us. Credit to both teams for the foundational research.
reticular.com/blog/genomic-a…
Just published our state-of-the-art polygenic scoring results.
We're emphasizing our benchmarking methods, especially how we split.
medrxiv.org/content/10.64898…
Longer 🧵 breaking down our paper 👇
teapawt.net/johnyang100/status/190…
Reticular (YC F24) retweeted
shoutout @liambai21 and @etowah0 for beating us to the punch on translating mech interp to protein language models. excited to see where these techniques will lead given the dense amt of coevolutionary + structure info learned by these models.
Incredibly excited to launch publicly as part of @ycombinator's Fall 2024 Batch. Send us a DM if you're in the interpretability space or working in biotech. @johnyang100 and @NithinParsan
YC F24's @ReticularAI makes protein AI models controllable and interpretable to help steer protein design with limited biological data, reducing costly validation cycles.
ycombinator.com/launches/ME3…
Congrats on the launch, @NithinParsan and @johnyang100!