I'm excited to announce that Astex, Bristol Myers Squibb, and Takeda are officially joining AbbVie and Johnson & Johnson to fine-tune OpenFold3 on their proprietary structural data. That means five large pharma companies are now collaborating, each contributing many thousands of protein–small molecule structures (while keeping ownership and data IP fully protected via Apheris). A dataset of this scale and diversity just doesn’t exist to date, especially not within a single company. AbbVie and J&J were the first to get this moving, and their early commitment made it possible for others to join. Thanks to Gary Tresadern, John Karanicolas, Chris Murray, Paul Mortenson, Prashanth Vishwanath, Hans Bitter, Payal Sheth, and their teams as well as Mohammed AlQuraishi for the great collaboration, learnings, and trust to make this happen. For me, this shows what’s possible when scientific excellence, trust, and persistence line up. Companies finding a way to collaborate on science without giving up control of their data. And it sets the stage for much more to come in structural biology and drug discovery. Excited to see the impact AISB will have on the industry. Here's the press release: https://lnkd.in/e6yA9jmC #FederatedLearning #DrugDiscovery #StructuralBiology #OpenFold3
Robin Roehm SO exciting to see this consortium continue to grow and thrive! Loved our early 0-to-1 days on this together to build the foundation — and even more excited to see where it’s headed now. 🚀
Congratulations on this important milestone, Apheris!
Congrats to the @Apheris team and partners — an unprecedented step in pharma collaboration. I'm curious to know what will it take for federated learning to move from such pilot to a widely adopted standard across pharma R&D?
Finally Robin Roehm ! Well done
Congratulations on making this happen! This is most definitely a tremendous accomplishment!
Amazing. Great stuff!!
Fantastic news - congrats Team Apheris! 🚀
Wow, this is really interesting! I definitely need to learn more about the AISB Network & Apheris. Thanks for sharing!
Congratulations Robin Roehm and the whole Apheris team! An amazing step forward.
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1moThis collaboration is impressive, but what if we took it further? Small molecule discovery has become incredibly difficult for individual companies. And there is so much data, so many already made compounds. Most of it is unused. What if the industry pooled all historic data into a shared entity? The combined dataset might unlock breakthroughs impossible alone, creating value greater than the sum of parts. If AI models need a critical threshold of data to radically accelerate drug discovery, and merging private data could reach that threshold, not doing it seems almost indefensible.