We build AI models to design any protein, for any purpose.

Joined November 2023
Photos and videos
Diffuse Bio retweeted
NEW CASE STUDY from @diffuse_bio: up to 1000x tighter protein binding in 1 week -- unprecedented performance and speed 🧵
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Diffuse Bio retweeted
Thrilled to share our technical report on this progress. Incredibly grateful for the work we’ve accomplished together as a team 💪ramax.diffuse.bio/public/dif… 8/

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Diffuse Bio retweeted
Announcing ProxyTm: our platform for measuring protein thermostability at library scale 🔥🌡️❄️ ProxyTm is 100–1000× lower cost and higher throughput than conventional methods like CD spectroscopy or DSF 1/
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Diffuse Bio retweeted
RamaX Opt yields 4–50× affinity improvements across 4 starting CD3 binders, while removing sequence liabilities in parallel — all in ~1 week. And this is just a limited first pass— single point mutations for Seq 1-3 and modest combinatorial diversity for Seq 4. RamaX can handle very large, diverse libraries, so there's plenty of room to push further.
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Diffuse Bio retweeted
Update: we can now do affinity maturation in as little as 1 week with RamaX Opt from @diffuse_bio! To our knowledge, this is the fastest affinity maturation method available, outperforming even the most advanced existing experimental and AI approaches 🧵
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Binders➡️ Now
Announcing a unified pipeline for end-to-end protein binder design and experimental validation at scale. 🤖🤝🏾🧬 DiffuseSandbox ➡️ RamaX
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Diffuse Bio retweeted
When I proposed building generative models for protein design for my PhD ~8 years ago, the idea was seen as impractical and a toy problem. The models were hilariously bad at the start, producing noodle-like structures and incoherent sequences. I just kept working on it because I thought it was cool -- and I had huge dreams for what would be possible *if* it worked. I was lucky to have a few people who really believed and encouraged me to keep going. Cut to our diffusion models breakthrough which has led to many incredible papers, many companies being founded, and of course -- the amazing team at @diffuse_bio AI will design the therapeutics, diagnostics, enzymes, and molecular machines of the future. Stick with the silly ideas!
Marc Andreessen: Revolutionary technologies were often viewed as “trivialities” or “jokes” “If you read history, the great innovations of the past are now well understood as being very important. In almost every case, they were not widely understood as such at the time. In fact, I would assert that they were often actually viewed as trivialities or jokes.” He gives three examples: 1. The telephone. “When Thomas Edison was first working on the telephone, the assumption of the use case motivating his early work was the idea that telegraph operators needed to be able to talk to each other. It was considered implausible that you would have a system that would let any ordinary person pick up the telephone and talk to another person - that was clearly impossible… Completely missing the larger opportunity.” 2. The Internet. “I have personal experience with this one. The Internet was laughed at. It was heaped with scorn from 1993 to 1997-98. In fact, those of you who were in the industry at the time will remember the New York Times had a reporter on staff named Peter Lewis… I’m convinced he was specifically hired by the editors to just write negative stories about the Internet. It was all he did, and it was always the Internet was never going to be a consumer medium. The Internet is not nearly as big as these people think. Nobody is ever going to trust the internet for e-commerce.” 3. The car. “The car was absolutely viewed as a triviality and a toy when it first emerged. In fact, J.P. Morgan himself refused to invest in Ford Motor Company with the response that it’s just a toy for rich people, which is in fact what it was at the time. If you had one of the first cars, you had to be a rich person. You had to have a driver. You often actually had to also have a stoker with your early cars to keep the engine going. And then you also had to travel with a full-time mechanic because the thing would break down every three miles.” Marc concludes: “The great innovations of the present, I believe, are virtually guaranteed to be viewed as trivial and to be viewed as jokes. I think history 50 to 100 years from now will enshroud them in legend. In our time, they won’t be recognized as such. Of course, in the future, when they become legends, our descendants will themselves have their own trivial innovations to laugh at.” Video source: @MilkenInstitute (2013)
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Diffuse Bio retweeted
Been inspiring and humbling to learn about all the academic projects that would be accelerated with RamaX. So as an early Christmas present we’re making it easier for academic groups to access RamaX. Get in touch with us for special academic rates! 🎄🎁
Thrilled to launch RamaX: our platform for ultra-fast, accurate, and sensitive screening of massive binder libraries (from 1K to 1B minibinders, VHHs, or scFvs) in just 1-2 weeks. This method has been an absolute game-changer for us at @diffuse_bio. Internally, we’ve completely switched from yeast display to RamaX for screening our designs. We’re also using RamaX to generate enormous datasets to train our protein generative models. 🧵 1/
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Diffuse Bio retweeted
It's been amazing to see the response so far! Test our RamaX yourself to discover and screen binders ramax.diffuse.bio
Thrilled to launch RamaX: our platform for ultra-fast, accurate, and sensitive screening of massive binder libraries (from 1K to 1B minibinders, VHHs, or scFvs) in just 1-2 weeks. This method has been an absolute game-changer for us at @diffuse_bio. Internally, we’ve completely switched from yeast display to RamaX for screening our designs. We’re also using RamaX to generate enormous datasets to train our protein generative models. 🧵 1/
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Diffuse Bio retweeted
16 Dec 2025
One place AI startups struggle is generating real world data and having fast feedback loops. Without that, how do you know if your AI model is good? @diffuse_bio has made a huge breakthrough that 10x's the speed of generating real-world data. This'll be a huge unlock for AI bio!
Thrilled to launch RamaX: our platform for ultra-fast, accurate, and sensitive screening of massive binder libraries (from 1K to 1B minibinders, VHHs, or scFvs) in just 1-2 weeks. This method has been an absolute game-changer for us at @diffuse_bio. Internally, we’ve completely switched from yeast display to RamaX for screening our designs. We’re also using RamaX to generate enormous datasets to train our protein generative models. 🧵 1/
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Diffuse Bio retweeted
Binders need to be functionally validated, at scale, for the cheapest possible $. @diffuse_bio making great progress here.
Thrilled to launch RamaX: our platform for ultra-fast, accurate, and sensitive screening of massive binder libraries (from 1K to 1B minibinders, VHHs, or scFvs) in just 1-2 weeks. This method has been an absolute game-changer for us at @diffuse_bio. Internally, we’ve completely switched from yeast display to RamaX for screening our designs. We’re also using RamaX to generate enormous datasets to train our protein generative models. 🧵 1/
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Diffuse Bio retweeted
16 Dec 2025
In 2022, Diffuse kicked off the wave of generative AI for protein design by introducing the first diffusion models for protein sequence and backbones. Today they’ve done it again by shipping RamaX, the world’s first platform for screening AI designs at scale.
Thrilled to launch RamaX: our platform for ultra-fast, accurate, and sensitive screening of massive binder libraries (from 1K to 1B minibinders, VHHs, or scFvs) in just 1-2 weeks. This method has been an absolute game-changer for us at @diffuse_bio. Internally, we’ve completely switched from yeast display to RamaX for screening our designs. We’re also using RamaX to generate enormous datasets to train our protein generative models. 🧵 1/
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AI performance scales with data 💪
Thrilled to launch RamaX: our platform for ultra-fast, accurate, and sensitive screening of massive binder libraries (from 1K to 1B minibinders, VHHs, or scFvs) in just 1-2 weeks. This method has been an absolute game-changer for us at @diffuse_bio. Internally, we’ve completely switched from yeast display to RamaX for screening our designs. We’re also using RamaX to generate enormous datasets to train our protein generative models. 🧵 1/
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Diffuse Bio retweeted
We’ve just launched Minibinder Design on DiffuseSandbox.com! You can now design minibinders alongside scFvs and nanobodies. We’ve also upped our design limit. Read more on our blog post: diffuse.bio/new-feature-rele…
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Diffuse Bio retweeted
New features available now on our protein GenAI platform DiffuseSandbox! scFv design with DSG2-mini is now live. We’ve also made open-source models RFAntibody pMPNN available. diffusesandbox.com 1/
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Diffuse Bio retweeted
👋We’re excited to launch DSG2-mini, our newest AI protein design model, now available in DiffuseSandbox⏳🎁, our new app for protein binder design. Click through to design a protein yourself! diffusesandbox.com 1/
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Diffuse Bio retweeted
29 Jun 2024
Foundation AI models in biology can result in a 7 orders of magnitude better hit rate for protein binders We are only beginning to see what can happen to biopharma in this next phase of AI
Replying to @namrata_anand2
We prompted DSG-1 to design nanobody binders, a therapeutically relevant class of proteins. Remarkably, DSG-1 designs bound the target with a 3% hit rate, about seven orders of magnitude better than industry-standard discovery approaches. 4/
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Diffuse Bio retweeted
I’m excited to share some of our progress at @Diffuse_Bio today, about a year and a half into our journey! 1/
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