Sign in

Sarah Gurev

@sarahgurev.bsky.social
167 followers 286 following 18 posts

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

PostsRepliesMedia
Reposted by Sarah Gurev
Colin Carlson @colincarlson.bsky.social · 23/09/2026
What's behind this tidal wave of epidemics? In the largest study ever conducted on emerging infectious diseases, we show that the popular explanation - "our relationship with nature is out of balance" - doesn't hold up. Out now in Nature, after half a decade of work: www.nature.com/articles/s41...
nature.com
The anthropogenic fingerprint on emerging infectious diseases - Nature
Emerging infectious disease outbreak risks are ubiquitous worldwide, and highest in landscapes where people, livestock and fragmented natural ecosystems coexist, but detection and data ...
8554277
Reposted by Sarah Gurev
Atlas of Variant Effects Alliance @varianteffect.bsky.social · 04/08/2026
Don't forget, we'll be live later for our Variant Effects Seminar. Today's talk is with @sarahgurev.bsky.social. Find your time zone and join us at 4.00 pm (UTC): www.varianteffect.org/seminar-seri...
051
Reposted by Sarah Gurev
Colin Carlson @colincarlson.bsky.social · 03/08/2026
NEW stuff for Monday morning! Get your new stuff here! Pandemic risk is going up. Can we bring it back down? Probably not - unless we radically reimagine our relationship with nature, food, and each other. First preprint led by the brilliant @torrelavelle.bsky.social: www.medrxiv.org/content/10.6...
A dendrogram showing 64 drivers of pandemic riskNine line charts showing future change in pandemic-relevant variables under five scenarios
1227
Reposted by Sarah Gurev
Steph N. Seifert, PhD @stephseifertphd.bsky.social · 15/06/2026
🚨 Ever wonder why some viral reassortants establish and spread while others disappear? Us too! Led by @ricardoriveroh.bsky.social, we studied drivers of viral reassortment across hantaviruses and found that it varies dramatically among lineages (1/3) Preprint: doi.org/10.64898/202...
13215
Reposted by Sarah Gurev
David Simons @davidsimons.bsky.social · 04/06/2026
1/7 New #ecology preprint out. We’ve spent half a century searching for Arenavirus and Hantavirus reservoirs, but it turns out global surveillance is essentially just us looking under the nearest streetlight. It is decoupled from actual host biodiversity.🧵 doi.org/10.64898/202...
1238
Reposted by Sarah Gurev
Lucas Moriniere @lucasmoriniere.bsky.social · 04/04/2026
🔥Preprint fresh off the press🔥 Hello Bluesky! I'm delighted to share the story I have been working on for the past 3y in @vivekmutalik.bsky.social's lab at LBNL and Adam Arkin's lab @ucberkeleyofficial.bsky.social. It's a wild story about 255 phages & 1,000+ HT genetic screens, are you ready? 🧵
biorxiv.org
24218
Reposted by Sarah Gurev
Diego del Alamo @delalamo.xyz · 22/01/2026
Most benchmark papers are boring but this is a masterpiece. Authors present a comprehensive breakdown of different inference strategies on variant effect prediction (VEP) in viruses. There were two surprising results that IMO deserve more attention🧵
1163
Reposted by Sarah Gurev
David Ho @davidho.bsky.social · 20/01/2026
This is the most astonishing graph of what the Trump regime has done to US science. They have destroyed the federal science workforce across the board. The negative impacts on Americans will be felt for generations, and the US might never be the same again. www.nature.com/immersive/d4...
This line graph illustrates the percentage change in agency staff levels from the previous year for nine major U.S. federal scientific and health organizations between the fiscal years 2016 and 2025. The agencies tracked include the CDC, Department of Energy, EPA, FDA, NASA, NIH, NIST, NOAA, and NSF. For the majority of the timeline between 2016 and 2023, the agencies show relatively stable fluctuations, generally staying within a range of +5% to -5% change per year. However, there is a dramatic and uniform plummet starting in the 2024–25 period. Every agency depicted shows a sharp downward trajectory, with staffing losses ranging from approximately -15% to over -25%. The Environmental Protection Agency (EPA) shows the most significant decline, dropping to roughly -26%, while the National Institute of Standards and Technology (NIST) shows the least severe but still substantial drop at approximately -15%.
91147798501
Reposted by Sarah Gurev
Umberto Lupo @umbislupo.bsky.social · 15/01/2026
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]
1188
Sarah Gurev @sarahgurev.bsky.social · 13/01/2026
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!
152
Reposted by Sarah Gurev
Kristian G. Andersen @kgandersen.bsky.social · 07/01/2026
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...
science.org
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
1228
Reposted by Sarah Gurev
Gabriel Rocklin @grocklin.bsky.social · 19/11/2025
New preprint! We measured temperature- and pH-induced aggregation for over 18,000 natural and de novo designed protein domains!
412241
Reposted by Sarah Gurev
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 22/10/2025
End-to-end protein design in the browser through evedesign. Generate and interactively explore designs in 2D/3D and export them as codon-optimized DNA. The underlying open source framework (released soon) is build to easily add new methods, more on that soon. 🌐 evedesign.bio
29329
Reposted by Sarah Gurev
Yehlin Cho @yehlincho.bsky.social · 13/10/2025
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
35316
Reposted by Sarah Gurev
Nikolai Slavov @slavov-n.bsky.social · 10/09/2025
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
1157
Reposted by Sarah Gurev
Bloom lab @jbloomlab.bsky.social · 08/09/2025
In new study led by @ckikawa.bsky.social, we provide near real-time data on human neutralizing antibody landscape to influenza by measuring ~26,000 titers to >100 recent viral strains Data can inform vaccine selection & evolutionary/epidemiological modeling www.biorxiv.org/content/10.1...
biorxiv.org
Near real-time data on the human neutralizing antibody landscape to influenza virus to inform vaccine-strain selection in September 2025
The hemagglutinin of human influenza virus evolves rapidly to erode neutralizing antibody immunity. Twice per year, new vaccine strains are selected with the goal of providing maximum protection again...
16035
Reposted by Sarah Gurev
Jon Mifsud @jonathonmifsud.bsky.social · 25/08/2025
There’s been a bunch of new approaches looking at deep viral evolutionary history. We’ve put together a mini review highlighting some recent advancements in structural phylogenetics and time-dependent rate models and what they could do for the field 🦠 🔗 journals.asm.org/doi/full/10....
journals.asm.org
Recent advances in the inference of deep viral evolutionary history | Journal of Virology
Phylogenetic studies examining the origins, emergence, and spread of viruses have arguably been one of the most active and successful areas of evolutionary biology and form the bedrock of the flourishing field of genomic epidemiology. This, in part, reflects the ability of viruses, particularly those with RNA genomes, to evolve at rates much greater than their cellular counterparts (1). The rapid rate at which viruses evolve and accumulate mutations enables evolutionary signals to be identified through comparative genomics at short timescales relevant for outbreak investigation and response. The integration of phylogenetics and epidemiology, known as phylodynamics, has become a vital tool in response to numerous viral outbreaks, epidemics, and pandemics, including Ebola (2), Zika (3), and, more recently, COVID-19 (4) and mpox (5).
22813
Reposted by Sarah Gurev
Erin Doherty @erinedoherty.bsky.social · 22/08/2025
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.
biorxiv.org
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...
24427
Sarah Gurev @sarahgurev.bsky.social · 17/08/2025
🚨New paper 🚨 Can protein language models help us fight viral outbreaks? Not yet. Here’s why 🧵👇 1/12
35523
Reposted by Sarah Gurev
George Bouras @gbouras13.bsky.social · 08/08/2025
Stoked to finally have a preprint out for Phold, our tool that uses protein structural information to enhance phage genome annotation #phagesky 1/n www.biorxiv.org/content/10.1...
biorxiv.org
Protein Structure Informed Bacteriophage Genome Annotation with Phold
Bacteriophage (phage) genome annotation is essential for understanding their functional potential and suitability for use as therapeutic agents. Here we introduce Phold, an annotation framework utilis...
513766
Reposted by Sarah Gurev
Yo Akiyama @yoakiyama.bsky.social · 05/08/2025
Excited to share work with Zhidian Zhang, @milot.bsky.social, @martinsteinegger.bsky.social, and @sokrypton.org biorxiv.org/content/10.1... TLDR: We introduce MSA Pairformer, a 111M parameter protein language model that challenges the scaling paradigm in self-supervised protein language modeling🧵
biorxiv.org
Scaling down protein language modeling with MSA Pairformer
Recent efforts in protein language modeling have focused on scaling single-sequence models and their training data, requiring vast compute resources that limit accessibility. Although models that use ...
19743
Reposted by Sarah Gurev
Andrew Rambaut (🐏🎀) @arambaut.bsky.social · 15/07/2025
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.org
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.
14423
Reposted by Sarah Gurev
Pascal Notin @pascalnotin.bsky.social · 18/06/2025
🚨 New paper 🚨 RNA modeling just got its own Gym! 🏋️ Introducing RNAGym, large-scale benchmarks for RNA fitness and structure prediction. 🧵 1/9
14016
Reposted by Sarah Gurev
Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 11/06/2025
End-to-end differentiable homology search for protein fitness prediction. @yaringal.bsky.social @deboramarks.bsky.social @pascalnotin.bsky.social arxiv.org/abs/2506.089...
0329
Reposted by Sarah Gurev
Jason Nomburg @jnoms.bsky.social · 12/06/2025
Hello everyone! I am pleased to share information on the first ever Computational Structural Virology Symposium, conducted August 4th on zoom and highlighting work in this emerging field. You can register for this event here: forms.gle/CNiqskMwQEuV.... Please re-post!
26952