@elonmusk Hitler was as much of a far-left socialist as you are a democracy-loving humanist.

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🚨Preprint! One RING to rule them all (phages)👑💍⚔️

Bacteria build giant DNA-scaffolded RNase rings (larger than the ribosome!) to shut down viral infection🧬🧵👇
🔗biorxiv.org/content/10.648…

Our Universal Cell Embedding model, trained on a 36-million-cell dataset from various species and tissues, allows the study of organisms well beyond those in the training set: doi.org/10.1038/s41586…
Source: Rosen et al., Nature, 2026

Thrilled to share! We present the structure of a prototypical P2 OLD and reveal that its tRNAse activity is triggered by ssDNA hairpins in phage origins or unresolved termini in RecBCD-deficient cells.

Great team effort with Wang, Bikard & Nudler labs.

biorxiv.org/content/10.648…

By encapsulating an engineered CRISPR-Cas12 therapeutic in a #PhageTherapy delivery system, a team designs a precision antimicrobial therapy for Shiga toxin-producing #Ecoli that cleaves the Stx gene and combats infection in animals. @dbikard @EligoBio scim.ag/4u3Ecob

Thrilled to share our new preprint from the Doudna Lab!

“Undruggable” cancer mutations remain very hard to target with current modalities. What if we could instead sense mutant transcripts and convert that recognition into selective cell killing?

biorxiv.org/content/10.648…

1/9 New preprint from the Sternberg Lab in collaboration with the Nishimasu Lab! We uncover how the DRT3 antiphage immune system pairs two reverse transcriptases, one RNA-templated and one protein-templated, to build a double-stranded DNA effector. doi.org/10.64898/2026.…

Bridging continuous and discrete evolution through a controllable, hypermutagenic phage-bacteria system dlvr.it/TSKLBs #MicroSky

1/ Excited to share our new paper in Science: “Toward life with a 19-amino acid alphabet through generative artificial intelligence design.” @ColumbiaSysBio @ColumbiaBME @Columbia
science.org/doi/10.1126/sc… 🦠🧬🛠️🖥️💥

🤗🤗🤗introducing Hugging Science -- the home of AI for science 🤗🤗🤗

open models and datasets are the powerhouse of science (see the PDB), but finding the models and data you actually need for your breakthrough is hard af

you shouldn't need to scrape arxiv, own your own HDF5 parser, build a fusion stellarator, and beg for compute before you've trained a single epoch

so we're changing that

we've put all the best science on @huggingface in one place:
- 78GB of genomics data
- 11TB of PDE simulations
- 100M cell profiles
- 9T DNA base pairs
- 13M molecular trajectories
- 400k medical QA pairs

and much more, all open, and all ready for training (+ you can also now filter and search by domain, task, and keyword)

we've put together all the biggest releases from our partners at NASA, Google, OpenAI, Meta FAIR, Arc Institute, Ginkgo, SandboxAQ, Proxima Fusion, NVIDIA, Ai2, OpenADMET, InstaDeep, Future House, Polymathic AI, LeMaterial, Earth Species Project, Merck, and Eve Bio

if you're not sure where you fit in -- work on open challenges for problems that matter: including fusion stellarator design, ADMET, antibody developability, multilingual medicine, catalysis and materials, and scientific reasoning.

we're already changing how science gets done:

a fusion startup needed a benchmark for stellarator plasma confinement that didn't exist. @proximafusion shipped ConStellaration on Hugging Science: a leaderboard, dataset, and eval metrics, all in one place.

a drug discovery team wanted to predict hPXR induction. OpenADMET put up a blind challenge: 11,000+ compounds assayed at Octant, 513 held out, two tracks (pEC50 + structure). Anyone in the world can train and submit.

an antibody team at @Ginkgo released GDPa1, a developability dataset for stability, manufacturability, and immunogenicity prediction, with a live leaderboard scoring every submission.

if you know a problem the ML community should be working on, let us know. make a challenge! this is about putting all the tools for solving science in one place. so we can hillclimb!

→ huggingscience.co

Excited to share our discovery of a new programmable RNA-guided DNA-targeting system hiding inside bacteriophages that predates CRISPR.

We call it VIPR (Viral Interference Programmable Repeat), and it uses an entirely new logic to find its targets.

Thread + link below.

Dr. David Bikard is reprogramming the gut microbiome to fight disease.

Using engineered phages and CRISPR, he is developing precision tools to edit microbial communities directly in the gut!

Hear him speak at SB 8.0 at the iGEM Grand Jamboree! jamboree.igem.org/2025/program/s…

A new encyclopedic review, for plasmid lovers:
academic.oup.com/nar/article/53…
We (Mapi, Eduardo and I) hope you like it!

Today @arcinstitute releases State, our first perturbation prediction AI model and an important step towards our goal of a virtual cell

State is designed to learn how to shift cells between states (e.g. “diseased” to “healthy”) using drugs, cytokines, or genetic perturbations

Our latest story is now online @Nature! We discovered a phage defense system that deploys kilobase-long DNA homopolymers to protect against viral infection. Congratulations to all authors, and to the @WiedenheftLab for a fun and fruitful collaboration!

nature.com/articles/s4158…

Today in @ScienceMagazine we report the development of a laboratory-evolved CRISPR-associated transposase (evoCAST) that supports therapeutically relevant levels of RNA-programmable gene insertion in human cells, a collaboration with @SternbergLab.
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drive.google.com/file/d/1I-UbCR…

Hidden in plain sight: Bacterial genomes reveal thousands of lytic phages with therapeutic potential biorxiv.org/content/10.110…

📅 Registrations are now open for the MOOC “Resistance to Antibacterial Agents”!
👉 Enroll Now: bit.ly/4fzYwqV
🌍 It's World Antimicrobial Resistance (AMR) Awareness Week! 💊

#WAAW #AntibioticResistance #AMR #OneHealth #PublicHealth #GlobalHealth #Antibiotics

Refreshing to see so much science and energy on the other app. I encourage you to follow me there. My presence here will likely dwindle.

We are scouting for a PhD student in antiphage immunity. Starting spring 2025 at @TartuUniversity, secondments at @lunduniversity. Please contact me with i) CV and ii) max 2-page cover letter (why you, why this topic and why our team) at vasili.hauryliuk@ut.ee. RT appreciated!