Bioinformatics, immunogenetics, high-throughput immune repertoire sequencing. Decoding adaptive immunity.

Third Rome
Joined May 2014
1/7 We are pleased to report the 2026 VDJdb release, just published in Nucleic Acids Research: 203,230 TCR:pMHC records over 2,090 epitopes and 236 MHC alleles, 37-fold the first release, 4-fold our 2022 COVID-19 compendium. #immunology #bioinformatics academic.oup.com/nar/advance…
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Mikhail Shugay retweeted
Targeting neoantigens, the proteins or peptides on the surface of cancer cells, is the basis for personalized cancer vaccines. What is the ideal neoantigen? @Cancer_Cell sciencedirect.com/science/ar…
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Which model can best distinguish which TCR-pMHC pairs show validating reactivity? Very excited to find out!IMMREP26 is now live and will be running until 2nd November! kaggle.com/competitions/immr…
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Filling the massive AI drug discovery data gap nature.com/articles/d41573-0… Charlotte Deane, co-leader of the OpenBind initiative, discusses the need for more protein–small molecule binding data
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Can we predict which T cell receptors will recognise which targets? That's the challenge being tackled by team MATCHMAKERS. Their latest research has shown that this may be more feasible than previously thought. Their work, built on a rigorously validated TCR dataset, reveals early predictive capabilities. There's still much more to do, but findings like these are helping to lay the foundations for a future where data-driven approaches can accelerate progress against cancer. Congratulations to @MariusMessemak1 (pictured right), Bjørn Kwee (pictured left) and Ton Schumacher from @NKI_nl, and all collaborators for publishing this latest research in @ImmunityCP. 🔗 Read the paper: bit.ly/4e89Hbr
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Mikhail Shugay retweeted
Online now: Functional evaluation of TCR-pMHC pairs at scale allows in silico TCR reactivity prediction dlvr.​it/TVkjcP
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Hi, we would like to introduce PAIR-Scan, an HLA-agnostic library-on-library screening technology that can identify reactive TCR–antigen pairs with optimal killing activity among up to ~100,000 possible candidate pairs in a single-step. 🧵(1/7) biorxiv.org/content/10.64898…
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Missed our latest Unravelling T Cell Recognition seminar? Prof Chihiro Motozono, discusses the molecular basis of T cell antigen recognition and immune escape in viral infections, with lessons from SARS-CoV-2. The full seminar is now freely available 👇 youtu.be/x-Ox8MwcHjc
🤖 Made with AI
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Anthropic's discovery of array-associated reverse transcriptases? Turns out it was already done by a Danish scientist. He used Claude for administrative tasks, but not in an agentic manner for the discovery. He already filed a patent and gave talks on it nytimes.com/2026/09/27/scien…
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6/7 For structural evidence we modelled 14,612 TCR:pMHC complexes with TCRmodel2/AlphaFold2 across 39 epitopes, against 294 native structures, and report ipTM for each. In IMMREP25, only structure-based methods gained over random classifiers on unseen epitopes.
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7/7 Which residues drive recognition? Explore CDR3–peptide contacts as interactive complementarity maps at vdjdb.com. All 14,612 models are on HuggingFace: AlphaFold output at scale, no GPU months required. huggingface.co/datasets/isal…
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