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Benjamin D. Greenbaum

@bengrbm.bsky.social did:plc:b36sstkerstu3xv2kaceix7t

Member, Memorial Sloan Kettering Cancer Center Co-Director, Olayan Center for Cancer Vaccines Comp Immuno-oncology Self/nonself theory Co-Founder Rome Therapeutics Physicist

Bei Bluesky seit

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Posts
21
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Zusammenfassung

Benjamin D. Greenbaum (@bengrbm.bsky.social) ist seit 22 November 2024 auf Bluesky. Das Konto hat 80 Follower, folgt 4 Konten und hat 21 Posts veröffentlicht.

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  • Benjamin D. Greenbaum@bengrbm.bsky.social

    In our In Focus piece in Cancer Discovery @aacrjournals.bsky.social, Siyu Sun, formerly in our lab @mskcancercenter.bsky.social and now @urochestersmd.bsky.social, and I propose evolutionary models for “viral mimicry” in cancer evolution - we hope you enjoy! 👇👇👇 aacrjournals.org/cancerdiscov...

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  • Benjamin D. Greenbaum@bengrbm.bsky.social

    We are hiring fellows for a pilot initiative at @mskcancercenter.bsky.social – The Theory Group. The Group is centered around tumor-immune interactions and, post-AI, theoretical approaches that can unlock fundamental questions with translational impact. msk.wd108.myworkdayjobs.com/MSKCC_Career...

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  • Benjamin D. Greenbaum@bengrbm.bsky.social

    Matching T cells to their cognate peptides presented on MHC molecules from sequence data is a key unsolved problem in computational immunology. A transformative collaboration with @quaidmorris.bsky.social. Led by Olga Lyudovyk, @levinejon.bsky.social & Melissa Pathil! 👇 @mskcancercenter.bsky.social

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  • Quaid Morris@quaidmorris.bsky.social

    Can we predict which T cells recognize which peptides? A lot of the signal is hiding in AlphaFold3's (AF3's) hallucinations. enFoldX: instead of one predicted structure, we use the whole noisy ensemble to predict TCR:pMHC binding. www.biorxiv.org/content/10.6... 💻 🧬 github.com/jonlevi/enFoldX

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  • Memorial Sloan Kettering Cancer Center@mskcancercenter.bsky.social

    Congratulations to MSK's Dr. Luis Diaz on receiving the Gustave Roussy Prize, presented to a prominent figure whose scientific breakthroughs in cancer diagnosis, treatment, or prevention have significantly improved patient care and advanced our understanding of the disease. 👏

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