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GPT-6 Astra is now the best-performing frontier model for antibody developability prediction in our benchmark. 🧬 Finding an antibody that binds is only the beginning. Will it aggregate? Will it stay stable? Can it actually behave like a drug? GPT-6 Astra predicts these developability properties better than the other...

303,491 次观看 • 4 天前 •via X (Twitter)

10 条评论

Andrew Aiginin 的头像
Andrew Aiginin4 天前

We checked the Insilico Score in our DDD Benchmark. GPT-6 Astra scored 37.98, calculated as the mean performance across 6 antibody developability assays. 🧪 Great work on the new model, @thekaransinghal @joyjiao12 @maggie_hott 👏

Andrew Aiginin 的头像
Andrew Aiginin4 天前

I think both the benchmark results and the visualization could be interesting for you. The visual is a compilation of multiple PDB structures from the Protein Data Bank, showing different states of how antibodies interact with pathogens

Vladimir Aladinskiy 的头像
Vladimir Aladinskiy4 天前

Wow, another strong result by Astra on @thekaransinghal

Dmitrii Vasilev 的头像
Dmitrii Vasilev4 天前

Amazing results 💪🏻🚀

Vladimir Naumov 的头像
Vladimir Naumov4 天前

Thank you! Now 2d models from books are live and 3d 🙌

Andrew Aiginin 的头像
Andrew Aiginin4 天前

Yep

Petrina Kamya 的头像
Petrina Kamya4 天前

…for now! Watch this space -> Right? @andrewaiginin 🙂

Andrew Aiginin 的头像
Andrew Aiginin4 天前

Exactly!

BiotechObserver 的头像
BiotechObserver3 天前

That it was built in only 1 hour is something to brag about?

Dom 的头像
Dom4 天前

great work, where can I find more on the benchmark methodology?

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