Sarah Gurev

@sarahgurev.bsky.social

FutureHouse Fellowship - Sergey Ovchinnikov and Aaron Schmidt labs! Previously MIT EECS PhD with Debora Marks. Talk to me about modeling viral/immune proteins! 🦠

This was fun work and a remarkable effort across the computational and wet-lab teams! Strategies for in-silico filtering and ranking of antibody designs have been under-discussed in the literature, e.g. in most technical reports on antibody design that I've seen. Let's talk about these here! [1/n]

AI x Bio Discovery@aixbiobot.bsky.social · 7mo ago

Origin-1: a generative AI platform for de novo antibody design against novel epitopes [new] GenAI designs novel Ab targeting. It uses structure, sequence, & co-folding for binding.

Origin-1: a generative AI platform for de novo antibody design against novel epitopes

We’ve updated the EVEREST benchmark to include real-world viral evolution! www.biorxiv.org/content/10.1... Co-led by Noor Youssef and me, along with co-authors Navami Jain, Aarushi Mehrotra, Sarrah Leung, Abigail Jackson, @deboramarks.bsky.social, and with @cepi.net @futurehousesf.bsky.social!

Sarah Gurev@sarahgurev.bsky.social · 12mo ago

🚨New paper 🚨 Can protein language models help us fight viral outbreaks? Not yet. Here’s why 🧵👇 1/12

The fundamental problem with GISAID is this - data on the platform are neither open, nor FAIR. Such data - key for combating infectious diseases - are, by a large margin, paid for by taxpayers and hence must be openly available to all. With GISAID, they are not. www.science.org/content/arti...

Fresh conflicts erupt around giant database for flu and COVID-19 sequences

Critics say “autocratic” behavior by GISAID could hamper response to a future pandemic

science.org

Thrilled to announce our new preprint, “Protein Hunter: Exploiting Structure Hallucination within Diffusion for Protein Design,” in collaboration with @Griffin, @GBhardwaj8 and @sokrypton.org 🧬Code and notebooks will be released by the end of this week. 🎧Golden- Kpop Demon Hunters

Large AI models are reported to achieve high accuracy (AUROC) predicting pathogenic variants across the genome. A preprint reports that the predictions are based on splice variants. Using only this info (no sequences, no AI) achieves AUROC=0.944 across noncoding variants. 1/2

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Excited to share our new preprint co-led by @jnoms.bsky.social! Here we reveal an exceptional diversity of viral 2H phosphodiesterases (PDEs) that enable immune evasion by selectively degrading oligonucleotide-based messengers. This 2H PDE fold has evolved striking substrate breath & specificity.

Divergent viral phosphodiesterases for immune signaling evasion

Cyclic dinucleotides (CDNs) and other short oligonucleotides play fundamental roles in immune system activation in organisms ranging from bacteria to humans. In response, viruses use phosphodiesterase...

biorxiv.org

Some great new features and updates from the awesome Pathoplexus project. This is a new open pathogen genome database that can provide access to your sequences under a use-restricted license but also feed directly in to INSDC (EBI, Genbank etc) when you are ready. pathoplexus.org/news/2025-07...

Pathoplexus | Pathoplexus July Update

Pathoplexus is a new, open-source database dedicated to the efficient sharing of human viral pathogen genomic data, fostering global collaboration and public health response.

pathoplexus.org