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Happy to share that our Nucleotide Transformer (NT) Genomics AI work has been published in Nature Methods! 🚀 This new milestone caps years of innovative research by the InstaDeep team at the intersection of AI and DNA, the code of life. 📷 To read more:

🧬As featured in Nature Machine Intelligence, introducing #InstaNovo, a transformer model for ‘de novo’ peptide sequencing with the potential to help uncover the secrets of the human proteome, assist in the sequencing of novel bio molecules like nanobodies and much more. 🥼Explore a deep

🗝️ Outperforming state-of-the-art methods and expanding the scope and detection rate of #proteomics searches, #InstaNovo unlocks opportunities across direct protein sequencing, immunopeptidomics, and exploration of the dark proteome. Explore more: 👉bit.ly/3FVaH4s 3/4

holy shit AI can now decode the human proteome without any reference genome. a new paper published today presents a new model that can read raw mass spec and generate novel peptide sequences from scratch. no database or priors. just biology. 1/

🚨 Big news! We’ve received an Novo Nordisk Foundation Tandem Grant for #MIGRAINE — designing AI-powered GPCR-targeting biologics for chronic migraine. From computer to human in 4 years. Proud to team up with Messoud Ashina, Hakan Ashina, and Esperanza Rivera de Torre! 🧠 + 💊 + 🧬 = new hope.

🚨 We’re hiring a PhD student! 🚨 Join us at DTU Bioengineering + collaborators Messoud Ashina & Hakan Ashina + Esperanza Rivera de Torre to bring preventative migraine therapeutics from 💻 to 🧠. 🔗 Apply: lnkd.in/dCRU_EN3 🔍 Project: lnkd.in/dbpi8MwX

Excited to co-found and help lead IMPRINT—a focused effort to decode the immune system’s memory through cutting-edge computation and experimentation. Grateful to be on this journey with an exceptional team.

Great to see AffinityAI represented by Esperanza Rivera de Torre and Oliver Morell at the DTU Startup Day 💪 Lots of interest in what we’re building, especially the fact that we deliver #real #reagents rather than just #AI predictions. Excited for what's to come! DTU Skylab

At AffinityAI we’re moving from “finders keepers” to “designers binders”, one generative model at a time. If you could have a binder to anything, what would it be? (Proteins, obscure signalling pathways, that one reviewer who never gets back to you…;)