🔥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

🚨 Thrilled to share one of my main PhD projects! We built an in silico evolution platform that couples a solenoid discriminator network with AlphaFold2 as an oracle, using a genetic algorithm for sequence update. 🧬✨ (1/9)

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. 😎

🚀 Excited to release a major update to the Boltz-1 model: Boltz-1x! Boltz-1x introduces inference-time steering for much higher physical quality, CUDA kernels for faster, more memory-efficient inference and training, and more! 🔥🧵

It’s official!🎉I’m thrilled to announce that I will be joining Massachusetts Institute of Technology (MIT) as an assistant professor in a shared appointment between MIT Biology, MIT EECS and MIT Schwarzman College of Computing this fall. My lab will couple ML and high throughput experimentation to harness the remarkable functional diversity

Gave my PhD dissertation talk! 🧬 Tried my best to make AI for drug discovery & protein design accessible for ML folks: Beyond lucky & grateful to have had Pieter Abbeel Nathan C. Frey Kevin K. Yang 楊凱筌 Prescient Design Berkeley AI Research + many other collaborators & friends on this journey.🎈

We are expanding our efforts in LLM-based scientific discovery and are hiring for several roles. Come join my team and work with us on the future of natural language scientific AI! job-boards.greenhouse.io/deepmind/jobs/… job-boards.greenhouse.io/deepmind/jobs/… See RS and RE roles above.

We're thrilled to announce the 2025 FutureHouse AI for Science Independent Postdoctoral Fellows—six extraordinary scientists using FutureHouse tools to solve challenging scientific problems. Fellows will have access to all released and non-released agents and tools we’ve built at

Sarah Gurev Sarah Gurev will work with FutureHouse and the Ovchinnikov Sergey Ovchinnikov and Schmidt Labs Schmidt Lab to develop prediction systems for viral-host protein interactions where no co-evolutionary signal exists. During her MIT doctoral work, she developed pioneering deep

My lab, at Karolinska in Stockholm, is looking for a PhD student with a computational/quantitative background to work on probabilistic/generative models of protein (structure and sequence). The research will involve methods development and applications in vaccine design.

Our new preprint, "SoftAlign: End-to-end protein structure alignment," is now on bioRxiv! biorxiv.org/content/10.110…

If you missed out on Sarel Fleishman's extraordinary talk last night, have no fear - you can check out the recording 👇 youtu.be/2aaWh8yVq8U

Late, but got it done. Inference and training code for CA RFDiffusion is available here: github.com/baker-laborato… Please have fun. Getting this online was an adventure, to say the least.

Guide your favorite protein generative model with experimental data? Meet ProteinGuide - a method to condition pre-trained models on properties without retraining. We validated it both in silico by guiding ProteinMPNN and ESM3 on 3 tasks and in vitro by engineering base editors.

🚀 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

Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀

We are excited to share our new preprint, “An improved model for prediction of de novo designed proteins with diverse geometries”. (1/9) biorxiv.org/content/10.110…

Ok, I think I broke Claude... 🤖🫣

Nice! AlphaFold3 server added interactive pAE and chain division! Including option to download MSA. (Just noticed this when doing a tutorial today!)

We tried to set up a simple demo/tutorial model for the protein design ecosystem we've been developing, and it turned out a bit more interesting than we expected. 🧵 This was a team effort from a few people in my lab, including Anton Oresten (｢・ω・)｢ｶﾞｵｰ Hedwig Nordlinder and others.

University budgets everywhere are getting slashed, and we hear many PhD students with accepted ICML papers can no longer afford to attend. We are stepping in to offer travel grants for researchers who lost funding. Sponsored by Pillar VC, Ormoni Bio, Latent Labs, and Cimulate