Protein Science Generalist. PI @pb3lab. Views: my own.
P. Univ. Católica de Chile
Joined September 2009
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Registrations to the 2025 AI for Protein Design, sponsored by @EMBO, @RosettaCommons, @ProteinSociety, @Kurabiotech and @AI_Proteins, being held in Puerto Varas, Chile, are now OPEN!
More info, deadlines & attendee selection process:
meetings.embo.org/event/25-a…
#EMBOaiProteinDesign
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
The sheer ambition and scope of what's possible here are staggering. So incredibly inspiring. Huge congratulations to everyone involved!
Avengers assemble: 1 year BakerLab + NVIDIA GenAIR = 🔥 rfd4-proteina.org
Presenting RFD4-Proteina, our latest protein design model, significantly better and faster than everything we compared against, both in silico and in the lab! 1/30
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
It has been incredibly exciting to bring the RFdiffusion and Proteina model families together. An amazing release! 💜💚🔥🎉
And I am just as excited about the applications! 🧬
Massive congrats to @DidiKieran, @nscorley, @RafiBrent, @maxkazman and the many more contributors!
Avengers assemble: 1 year BakerLab + NVIDIA GenAIR = 🔥 rfd4-proteina.org
Presenting RFD4-Proteina, our latest protein design model, significantly better and faster than everything we compared against, both in silico and in the lab! 1/30
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Video: See some capabilities of newly released RFDA4 Proteina in protein design efforts to degrade pesticides with enzymes, seek treatments for Alzheimer's, create antibodies to fight disease & meet other challenges. @NVIDIAHealth @UWproteindesign @UWMedicine
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
🚀 Today at GTC Berlin we introduced RFD4-Proteina! A close one-year collaboration between GenAIR and David Baker's group at @UWproteindesign !
🧬 Design proteins faster and send fewer, better candidates to the lab.
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein design tasks
▫️ Programmable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
A step change in protein design: RFD4-Proteina is enables everyone today.
We partenered with @huggingface to make available a free space.
You can solve your hardest biology problem right now. No CS degree required: huggingface.co/blog/nvidia/r…
More to come...
Avengers assemble: 1 year BakerLab + NVIDIA GenAIR = 🔥 rfd4-proteina.org
Presenting RFD4-Proteina, our latest protein design model, significantly better and faster than everything we compared against, both in silico and in the lab! 1/30
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Was super awesome to work with the great people at NVIDIA, especially the GenAIR team - @ArashVahdat @karsten_kreis @tomasgeffner
🧬 Design proteins faster and send fewer, better candidates to the lab.
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein design tasks
▫️ Programmable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Congratulations to @DidiKieran, @nscorley, @RafiBrent, @maxkazman, David Baker and many scientists and collaborators who made this possible! 💜💚
Avengers assemble: 1 year BakerLab + NVIDIA GenAIR = 🔥 rfd4-proteina.org
Presenting RFD4-Proteina, our latest protein design model, significantly better and faster than everything we compared against, both in silico and in the lab! 1/30
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
🚨 NVIDIA × Nobel laureate David Baker’s team just unveiled RFD4-Proteina.
Protein design is entering the reasoning era.
The model unifies proteins, noncanonical amino acids, sugars, DNA, and RNA in a shared latent space, enabling iterative refinement and inference-time search.
🧬 10.6% computational success rate on protein binder design benchmarks, with 42× the throughput of BindCraft.
Even more impressive: wet-lab validation includes a de novo designed enzyme for a key step in the synthesis of the HIV drug lenacapavir.
Code and model weights are now available.
🔗 rfd4-proteina.org/
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Let’s goooooo🚀🚀🚀
Avengers assemble: 1 year BakerLab + NVIDIA GenAIR = 🔥 rfd4-proteina.org
Presenting RFD4-Proteina, our latest protein design model, significantly better and faster than everything we compared against, both in silico and in the lab! 1/30
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
RFD4-Proteina is now available on Web, API, and MCP!
A joint release by Baker Lab and NVIDIA: design biomolecular complexes with sequence–structure co-design, motif and binding-site conditioning, and partial diffusion.
Try it now for free on Subseq!
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
1/n
Crossover episode! We introduce RFD4-Proteina, our latest design model - and the result of a year-long collaboration between the Baker Lab and NVIDIA GenAIR (the name says it all…). I hope you’ll agree - the results are astonishing. 🌐 Website: rfd4-proteina.org/
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Avengers assemble: 1 year BakerLab + NVIDIA GenAIR = 🔥 rfd4-proteina.org
Presenting RFD4-Proteina, our latest protein design model, significantly better and faster than everything we compared against, both in silico and in the lab! 1/30
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
🧬 Design proteins faster and send fewer, better candidates to the lab.
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein design tasks
▫️ Programmable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
This is what a communal brain—a central tenet of the IPD approach—looks like in action. 🧠
We're thrilled to present RFD4-Proteina, co-developed with @NVIDIAHealth! Can't wait to see what you build: rfd4-proteina.org/
🧬 Design proteins faster and send fewer, better candidates to the lab.
Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein design tasks
▫️ Programmable: set your design inputs and use test-time compute on harder problems
Start with our binder-design tutorial nvda.ws/3VK9Uvr
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Nature research paper: De novo design of cysteine proteases
go.nature.com/4zUMtOP
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
New de novo design model from Baker Lab + NVIDIA, available on Tamarind today.
We are excited to be working with @NVIDIAHealth to bring access to RFD4-Proteina on day 0.
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Can we design proteins that cut other proteins? Our de novo cysteine protease paper is out in Nature! We designed new folds that cleave peptide backbones, with activity demonstrated in mammalian cells. Paper and code 👇
nature.com/articles/s41586-0…
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
We're thrilled to share that we've been selected as a recipient Google.org's Impact Challenge: AI for Science! We’ll be partnering with Dr. Pang Wei Koh to design proteins with natural language to advance sustainability applications, such as plastic degradation.
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Gen models for biomol design have improved by leaps and bounds, but wetlab val remains a bottleneck. Excited to share our work where we address this on the prot prod&purif (SAPP) and reducing input DNA costs (DMX). nature.com/articles/s41467-0…
Cesar Ramirez-Sarmiento @cesarramirez.bsky.social retweeted
Today in @Nature we are excited to share the final version of Dyna-1 and *all* of the datasets we curated! New to the manuscript is prospective experimental validation. Congrats to @HWaymentSteele @DorotheeKern @sokrypton and team!!!
🔗nature.com/articles/s41586-0…
📑rdcu.be/fy2Ax
