Timothy Jenkins
@TimothyPJenkins
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Head of Data Science and Assistant Prof at DTU Bioengineering with a keen interest in antibody discovery, de-novo protein design, ML, and next-gen therapeutics.
Copenhagen, Denmark
Joined February 2016
🧪🐍 AI vs venom!.Our Nature paper with David Baker shows AI-designed proteins can block deadly snake toxins. Now featured by Reuters! 🎥.✅ 80–100% survival in mice.💸 Cheap, fast, scalable.🌍 A step toward better antivenoms. 📄 🎬
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RT @Dr_Singularity: Another Huge, insane cancer Breakthrough. A new AI based method can produce specially designed proteins in just a few….
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RT @BiologyAIDaily: De Novo-Designed pMHC Binders Facilitate T Cell–Mediated Cytotoxicity Toward Cancer Cells @ScienceMagazine. 1. A ground….
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RT @KrisHaurum: Thrilled to share our new paper in @ScienceMagazine! 💥 .We developed a computational platform to design tiny 'minibinders'….
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We believe this approach can accelerate the development of safer, more effective immunotherapies for patients. And a special thank you to the talented @moonii1020 & @Joe_r_loeffler for the stunning graphic! 🎨.#CancerResearch #Immunotherapy #AI
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This was a monumental team effort bringing together immunology, computational biology, and structural biology. A huge congratulations to the incredible teams at @DTU_HealthTech, @DTUbioengineer, & @scrippsresearch and to all my brilliant co-authors, especially @KrisHaurum.
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Our key achievements include:.⚡️ Speed: A rapid 4-6 week pipeline from computer design to validated lab result. 🎯 Precision: An AI-driven process to screen for specificity & reduce off-target risks. 🤝 Personalization: It works even for a patient's unique tumor mutation.
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In this work, we designed completely novel proteins, or ‘minibinders,’ from scratch. 🤖.These act as a high-precision guidance system, leading a patient's own T-cells (black) to recognize and destroy cancer cells (red) with remarkable accuracy. #ProteinDesign #GenerativeAI
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Thrilled to announce our paper, "De novo-designed pMHC binders facilitate T cell-mediated cytotoxicity toward cancer cells," is officially out in @ScienceMagazine!. We used generative AI to build a 'GPS' for immune cells to hunt cancer. Read it here:
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While I’m bouncing between emails and desperately waiting for my holiday, it’s good to know at least something in the lab is holding it together. Thermal stability might not be glamorous, but it’s underrated. Designerbodies: even when things get heated, still doing their job ;).
Whether you're on holiday 🏖️ or still in the lab 🧪 trying to keep cool, at least one thing isn't melting: our DesignerBodies. Generatively designed. Thermally stable ❄️ Reliable reagents that don’t need a break 💪. #ProteinDesign #AI #Biotech
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RT @instadeepai: 🧬 In March, we published our research for InstaNovo and InstaNovo+ in @NatMachIntell, our diffusion-powered ‘de novo’ pept….
nature.com
Nature Machine Intelligence - InstaNovo, a transformer-based model, and InstaNovo+, a multinomial diffusion model, enhance de novo peptide sequencing, enabling discovery of novel peptides, improved...
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RT @instadeepai: 📆 Six months, four publications, one cover. We’re halfway through the year and InstaDeep research is powering ahead with….
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At @affinityaibio 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…;).
We’re rethinking what a binding reagent can be. Most antibodies weren’t designed, they were discovered. At AffinityAI, we’re flipping that logic: we build binders from first principles, guided by generative AI. What targets would you be interested in having a binder to?
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RT @affinityaibio: At AffinityAI, we combine Danish design sensibilities with precision molecular engineering. Elegant. Efficient. Engineer….
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Huge thanks to Anders Høeg Nissen for the great conversation and to the brilliant team behind InstaNovo, especially @InstaDeepAI and @DTUBioengineering. #AI #ProteinDesign #MassSpectrometry #deNovoSequencing #MachineLearning #NatureMI #InstaNovo #DTU #DigitalBiotechLab.
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💡 Curious about:.– How generative AI is transforming protein research?.– Why mass spec is such a rich (but messy) playground for AI?.– What it takes to go from spectrum to sequence to structure?.Give it a listen 🎧👇.
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We focus on our new Nature Machine Intelligence paper introducing InstaNovo, a transformer model for de novo peptide sequencing from mass spectrometry. No reference database needed. 📄
nature.com
Nature Machine Intelligence - InstaNovo, a transformer-based model, and InstaNovo+, a multinomial diffusion model, enhance de novo peptide sequencing, enabling discovery of novel peptides, improved...
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🎧 Had the pleasure of joining Anders Høeg Nissen on the AI Denmark Podcast to talk about how we’re using AI to crack the protein code 🧬. Catch my segment from 9:30 (and yes — it’s in English 😉).🎙️
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Great to see AffinityAI represented by @esperdet and Oliver Morell at the @DTUtweet 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!. @DTUSkylab.
Great energy at @DTUtweet Startup Day 🎉.Big thanks to @DTUSkylab for bringing together researchers, investors, and innovators. We had a blast sharing what we're building at AffinityAI. #AffinityAI #DTUSkylab #StartupLife
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RT @victorgreiff: Excited to co-found and help lead @IMPRINTlabs—a focused effort to decode the immune system’s memory through cutting-edge….
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