🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Next Tues (4/15) at 4PM ET we will have Garyk Brixi present "Genome modeling and design across all domains of life with Evo 2" Paper: biorxiv.org/content/10.110… Sign up on our website for zoom links!

I'm excited to release what I've been cooking up the past few months at Arc Institute BINSEQ is a family of binary file formats for sequencing data built with paired records and parallel processing in mind with big performance gains (2x-40x) over gzip-fastq with similar storage

It was awesome to join the Sequoia Capital podcast with Josephine Chen and Pat Grady to chat about modeling biology!

Super excited to present Dyna-1 next week with Hannah Wayment-Steele !!

Thanks Abhi owl (in SF june 16th-27th) for a wonderful conversation! It was a an honor to be the 3rd guest on the show. 😎

Thrilled that our work "Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN" has been accepted to ICML 2025! 🥳 Looking forward to connecting with the ML and comp bio communities in Vancouver this July! :)

🚨 New in Immunity ! EVE-Vax, an AI model that anticipates future viral evolution and designs antigens to proactively test vaccines + therapeutics—before variants even emerge. We envision this work will help make future-proofed vaccines and therapeutics. 👇 (1/7)

Reading group tomorrow: Jason Yim and Woody Ahern present "Atom level enzyme active site scaffolding using RFdiffusion2" biorxiv.org/content/10.110… Join on Zoom at 9am PT / 12pm ET / 6pm CEST: portal.valencelabs.com/starklyspeaking

Genomes encode biological complexity, which is determined by combinations of DNA mutations across millions of bases In new Arc Institute work, we report the discovery and engineering of the first programmable DNA recombinases capable of megabase-scale human genome rearrangement

excited to finally share on arxiv what we've known for a while now: All Embedding Models Learn The Same Thing embeddings from different models are SO similar that we can map between them based on structure alone. without *any* paired data feels like magic, but it's real:🧵

From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models １．This study introduces Likelihood-Fitness Bridging (LFB), a method that improves variant effect prediction in protein and genome language models (pLMs and gLMs) by averaging

🚀 Excited to release BoltzDesign1! ✨ Now with LogMD-based trajectory visualization. 🔗 Demo: rcsb.ai/ff9c2b1ee8 Feedback & collabs welcome! 🙌 🔗: GitHub: github.com/yehlincho/Bolt… 🔗: Colab: colab.research.google.com/github/yehlinc… Sergey Ovchinnikov Martin Pacesa

🚨ICML Paper Alert🚨 What if finding the right protein homologs wasn't a slow search, but a learned part of the model itself? We introduce 𝐏𝐫𝐨𝐭𝐫𝐢𝐞𝐯𝐞𝐫, an end-to-end framework that learns to retrieve the most useful homologs for self-supervised reconstruction! (1/12)

🚨 New paper 🚨 RNA modeling just got its own Gym! 🏋️ Introducing RNAGym, large-scale benchmarks for RNA fitness and structure prediction. 🧵 1/9

Got several responses exploring which software can deal with this. My point was that students should not rely on the precision of any standard software/functions but should learn how to maintain precision and avoid underflow/overflow before starting to code.

Excited to share #AlphaGenome, a start of our AlphaGenome named journey to decipher the regulatory genome! The model matches or exceeds top-performing external models on 24 out of 26 variant evaluations, across a wide range of biological modalities.1/6

Delighted to announce Arc Institute's Virtual Cell Challenge - a recurring, open, community-driven challenge to benchmark cellular foundation models See our announcement in Cell below, with prizes up to $100,000, sponsored by @Nvidia 10x Genomics Ultima Genomics!

Staff scientist position (computational): I am looking for a computational scientist to join my genomics lab at Stanford. They should have an outstanding skillset in ML/statistical methods for genomic applications, postdoc experience and a strong publication record. #sciencejobs

Evo 2 update: new dependency versions (torch, transformer engine, flash attn) and a docker option mean it should be easy to setup without needing to compile locally. Happy ATGC-ing! github.com/ArcInstitute/e…

In 1965, Margaret Dayhoff published the Atlas of Protein Sequence and Structure, which collated the 65 proteins whose amino acid sequences were then known. Inspired by that Atlas, today we are releasing the Dayhoff Atlas of protein sequence data and protein language models.