Julian Englert
@julian_englert
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Co-founder & protein data dealer at @adaptyvbio Engaging in self-constructive behavior.
Lausanne, Switzerland
Joined July 2018
Every week, people are uploading hundreds of new new protein designs to our platform. New companies get started and test their proteins with us. People who otherwise wouldn't have been able to validate their proteins can now do it thanks to our platform. That's what we're
Today we're dropping the "beta" tag from Adaptyv, launching our new website and announcing our $8M seed round. When we started Adaptyv a few years ago, our core belief was: AI models for biology are only as good as the experimental data they're trained on and the hypotheses
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This is unbelievable, a Green MP that literally doesn't know how energy works. (you can't just use waste energy, it has to be much much hotter than the surroundings to do anything, it's energy gradients or negentropy that matter and we've know this since we built the first steam
Here's a better idea: every data centre you build, you build enough renewable energy to power it, and you supply the waste heat from your cooling system to power homes and businesses nearby. Simple. Common sense. And fair.
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Real-world validation time for one of our lab's favorite new therapeutic peptide design algorithms: MOG-DFM! 💥 As a reminder, our multi-objective-guided discrete flow matching (MOG-DFM) algorithm, developed by my brilliant PhD student @TongChen321, learns Pareto-efficient
openreview.net
Designing biological sequences that satisfy multiple, often conflicting, functional and biophysical criteria remains a central challenge in biomolecule engineering. While discrete flow matching...
In this blog post, Tong Chen and colleagues from @pranamanam's Programmable Biology Group at @Penn are showcasing their most recent model MOG-DFM - a discrete flow matching model capable of optimizing therapeutic peptides across multiple (up to 5) different properties. We
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In this blog post, Tong Chen and colleagues from @pranamanam's Programmable Biology Group at @Penn are showcasing their most recent model MOG-DFM - a discrete flow matching model capable of optimizing therapeutic peptides across multiple (up to 5) different properties. We
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Mamdani is the manifestation of a new ideology that is spreading in the United States: Third-Worldism. I explain how it operates, how it frames Israel and the U.S. as the bourgeois oppressors, and why the ideology is appealing. https://t.co/pALKJY70GL
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Want to design a protein that blocks the deadly Nipah virus from binding to cell receptors? We'll test your proteins in our lab for free! Go to https://t.co/ZsdZ7E4sdQ to get started and submit your designs
proteinbase.com
Proteinbase brings together protein designs, experimental results, and design methods in one place to share, compare, and learn.
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Submissions for the Nipah virus protein design competition on are open! We've already received well over 100 protein designs in just the last couple days. Leaderboard coming soon 👀 Submission Rules: - Up to 10 proteins per submission. - Each sequence must be max 250 AA. - You
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A new era of regulation is here Introducing Compliant Capital, a venture capital firm for the Governance-First Economy Compliant Capital builds durable enterprises by investing in compliance excellence, measured in filings per quarter. Every cheque is paired with a regulatory
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You can find all the information about the model and the experimental data here:
proteinbase.com
All-atom diffusion-based generative model developed for de novo design of protein and peptide binders across a wide array of target types
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Congrats to the team around @hannesstaerk for the release and looking forward to seeing many more BoltzGen designs from the community in experimental campaigns at @adaptyvbio or in our new protein design competition!
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BoltzGen is now live on @proteinbase! We validated the new all-atom protein design model extensively in the lab and now you can access all the experimental data! The full dataset with over 400 lab-validated proteins is open-source, same as the model itself
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In SF from 10/29 to 11/02. Interested in speaking with people building massive libraries, biologics training datasets or generally in the bio-tools/infra space.
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Valthos builds next-generation biodefense. Of all AI applications, biotechnology has the highest upside and most catastrophic downside. Heroes at the frontlines of biodefense are working every day to protect the world against the worst case. But the pace of biotech is against
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The problem is there's not a single tech person in this entire group It's bureaucrats bureacrating!
💻 I just wanted to show how easy it is getting a GPU in the regular way compared to the 🇪🇺 EU's "AI Factory" plan where you have to apply for a proposal Funnily enough @LambdaAPI actually shows "Design your AI Factory" on their landing, maybe they're trying to get that juicy EU
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🇪🇺 As a European citizen and AI founder, I can apparently use these "AI Factories", so I just signed up to use them! Every "supercomputer" has an [ ACCESS NOW ] button which made me very excited I expected to sign up, maybe pay a discounted H100 rate (funded by EU, that'd be
What in the F is an AI factory? I had to investigate what the unelected @EU_Commission is talking about today So according to them, it's some data centers (which they call supercomputers) in 6 different EU countries I checked out the most powerful one: Karolina, a Czech data
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Participated in this last year, had five or so designs characterized in the wet lab. Easily one of the best hands-on AI-bio experiences I had early on – if you're new and trying to get your hands wet with protein design, 100% check this out, absolutely absolutely worth it
🌍 The biggest decentralized science experiment of 2025 is starting now! The protein design competition returns: we’re inviting scientists, engineers, and hackers from around the world to help design new proteins capable of neutralizing the Nipah virus, a pathogen with up to 75%
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The internet vs Nipah virus
🌍 The biggest decentralized science experiment of 2025 is starting now! The protein design competition returns: we’re inviting scientists, engineers, and hackers from around the world to help design new proteins capable of neutralizing the Nipah virus, a pathogen with up to 75%
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All details about the competition are available on the Proteinbase competition page. You’ll also be able to submit your designs there once submissions open: ➡️
proteinbase.com
Design a protein capable of neutralizing the Nipah virus, a pathogen with up to 75% mortality rate and high pandemic potential, currently lacking effective treatments.
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