AI x Bio | prev. PhD @Cambridge_Uni, MSc @ETH_physics
London, UK
Joined April 2020
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Simon Mathis retweeted
Today we're launching Latent-Y: the world's first autonomous agent for drug design, lab-validated end to end.
Give it a research goal. Latent-Y reasons, designs, iterates, and delivers lab-ready antibodies, autonomously or collaboratively, with the biological reasoning of a PhD protein design expert.
Technical report: tinyurl.com/latent-y-techrep…
Blog post: latentlabs.com/latent-y
Apply for access: platform.latentlabs.com
Simon Mathis retweeted
Join us next Tuesday and ask questions/discuss research!
Next Tues (3/24) at 4PM ET, @DidiKieran
and Danny Reisenbach will present "Proteina-Complexa: Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute"
Papers: research.nvidia.com/labs/gen…
Sign up on our website for zoom links!
Simon Mathis retweeted
📢 We’re launching Proteina-Complexa — and after the Jensen keynote mention, we definitely had to post this thread now ;)
Atomistic binder design with generative pretraining + test-time compute, plus large-scale wet-lab validation.
Project page: research.nvidia.com/labs/gen…
🧵 1/n
Simon Mathis retweeted
Introducing Latent-X2 — AI-generated antibodies with drug-like developability and low immunogenicity in human panels, zero-shot.
Technical report: tinyurl.com/latent-X2-report
Blog: latentlabs.com/latent-x2
Apply for access: [email protected]
Lots of gems in there - can highly recommend checking it out! Thank you for all the great work @chaitjo and for making it so accessible
Today at 11am I’ll present some of the exciting work in AI x Bio we’ve been up to at @Latent_Labs at the @RenPhilanthropy booth (Hall A/B, booth 1343 @NeurIPSConf - straight through the entrance at the back left). Come say hi!
If you can't make it at this time, we're at neurips for the next couple of days - reach out to me or any of our team if you're interested catching up over coffee.
There'll also be an event on Saturday:
xitter.cf/saakohl/status/1996907…
Looking forward to many interesting conversations 🙌
We've had a whopping 500+ sign-ups for our @NeurIPSConf mixer tomorrow, heavily waitlisted now! 🤩
Traveling to San Diego now and can't wait for the workshops and our mixer, electric AI fo Bio scene right now!
Lots of the @Latent_Labs team are on-site already, let me know if you'd like to meet for a chat!
Simon Mathis retweeted
Today, we report a method for design of active enzymes, RFdiffusion2, in @naturemethods. For the first time, we are able to design enzymes with native-range catalytic activity.
We also are releasing our next frontier model, RFdiffusion3, code 👇
Congratulations @chaitjo - so exciting!
Introducing gRNAde: our own little "AlphaGo Moment" for RNA design! 🧬🚀
📝: tinyurl.com/gRNAde-paper
Unlike proteins, RNA design has long relied on "wisdom of the crowd" (human experts) or the slow crawl of directed evolution — gRNAde changes that! 🧵👇
Simon Mathis retweeted
Come do a PhD with me 😀! Promise of fun science and great coffee ☕
Simon Mathis retweeted
🚨New package alert!
🧬 Introducing Pocketeer: A lightweight, fast protein pocket finder in pure Python!
I built this as a Pythonic version of fpocket because I wanted something that could easily calculate subpockets.
> pip install pocketeer
Link at end of the thread 🧵(1/7)
Super cool - congratulations Magnus & Team!
Phosphorylation on tyrosines control key pathways in immunity, cancer, and metabolism. For the first time, we can now design proteins that specifically recognize individual phosphotyrosines, even in disordered regions. (1/8)
Preprint: biorxiv.org/content/10.1101/…
Simon Mathis retweeted
We sought to make proteins both potent and FAST. We used #proteindesign to design precise control over protein interaction lifetimes, enabling us to construct rapid-response circuits, biosensors, and switchable cytokines. Now published @Nature! Links to paper and tutorial below.
Simon Mathis retweeted
We asked ourselves what could we do if we worked cooperatively as a team to create a single model that could design any biomolecular interactions.
Yesterday, we reported details of RFdiffusion3, the next step towards building functional proteins straight from the computer.
Simon Mathis retweeted
Very excited to share our paper "De novo Design of All-atom Biomolecular Interactions with RFdiffusion3", now on BioRXiv. biorxiv.org/content/10.1101/… 1/n
Simon Mathis retweeted
La-Proteina open source now, excited to see what people build with it!
Simon Mathis retweeted
Thrilled to announce I'm starting as a Principal Investigator at #Aithyra in Vienna! We'll be developing generative models to understand cell biology and design proteins.
I'm hiring PhDs, Postdocs, & Visiting Researchers! PhD applications by Sept 10: apply.cemm.at
Simon Mathis retweeted
Check out our new perspective "Illuminating the universe of enzyme catalysis in the era of artificial intelligence" now out in @CellSystemsCP !
We discuss a vision and path forward for genetically encoding almost all chemistry, powered by new AI tools:
authors.elsevier.com/c/1lg4h…