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This week on the Microsoft Research Podcast “Ideas,” researchers Tian Xie and Ziheng Lu discuss MatterGen and MatterSim, AI tools reshaping materials discovery. Learn how they aim to transform science and sustainability. msft.it/6019U8FXh

I'm usually not too emotional about paper acceptances, but this one justifies it. 🥹 It doesn't feel real, but PepPrCLIP is now published at Science Advances! Let me tell you its story. 📕 📜: science.org/doi/10.1126/sc… 💻: huggingface.co/ubiquitx/peppr… PepPrCLIP (🌶️📎) began as

Three alarms, Box 3-42 of 30 Jan 2025: During the search in early stages of the fire, Firefighters rescued a rabbit. The rabbit was handed off to Pro EMS medics & EMTs who ensured that the rabbit was safe.

Join us on February 25 for a new episode of Microsoft Research Forum where we share the latest updates on multimodal generative AI for precision health, advances in drug discovery and agents, & delve into cutting-edge AI techniques for programming safety. msft.it/6018UjW4q

Tonight I found out that the NSF math postdoctoral fellowship I applied for is being deleted because it does not comply with Trump’s executive orders on DEI in the federal government. I’m going to answer some FAQs and share some thoughts about this ordeal in this thread 1/n

Excited to share PoET-2, our next breakthrough in protein language modeling. It represents a fundamental shift in how AI learns from evolutionary sequences. 🧵 1/13

Microsoft Research's Sarah Alamdari was speaking at Applied Machine Learning Days in Lausanne today. Good timing to showcase how their team was using our lab to validate their new protein design model, EvoDiff 💡🧬 More details below!

presenting CleaveNet: an AI pipeline for the generative design of protease substrates We designed novel, selective substrates for MMPs by conditioning on an enzyme activity profile and validated them through a large-scale in vitro screen. for protease biology and beyond! 🚀

Such a fun project to work on with a stellar team! Stay tuned for other things to come here, and see you all in Singapore!

Use reward-guided generation to steer the proteins generated from EvoDiff! Masatoshi Uehara Xingyu Su Yulai Zhao Xiner Li Shuiwang Ji Aviv Regev Sergey Levine Tommaso Biancalani

Small proteins can be more complex than they look! We know proteins fluctuate between different conformations- but how much? How does it vary protein to protein? Can highly stable domains have low stability segments? Állan Ferrari experimentally tested >5,000 domains to find out!

Thousands of protesters have flooded the streets of Boston demonstrating in the anti-Trump "Hands Off!" rally. It's one of 1,200 other protests unfolding in all 50 states across the country.

Next Tues (5/20) at **2PM ET**, we will have Jason Yim and Woody Ahern present "Atom level enzyme active site scaffolding using RFdiffusion2" Paper: biorxiv.org/content/10.110… Sign up on our website for zoom links!

The final version of our work on enabling protein-function annotation on new, unseen functions with ProtNote is now published, with code and models available! 📰 doi.org/10.1093/bioinf… 💻 github.com/microsoft/prot… with Samir Char, Nate Corley, Sarah Alamdari, Kevin K. Yang 楊凱筌

Five different federal grants supported parts of this work to discover bacteriophages that specifically kill antibiotic resistant bacteria. They were all politically terminated three weeks ago.

Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more. msft.it/6011SQwKX

🚀 After two+ years of intense research, we’re thrilled to introduce Skala — a scalable deep learning density functional that hits chemical accuracy on atomization energies and matches hybrid-level accuracy on main group chemistry — all at the cost of semi-local DFT. ⚛️🔥🧪🧬

Interested in our mission Microsoft Research to make DFT more accurate and push what’s possible in quantum chemistry? Do you want to directly contribute? We have 2 job openings! 🧪Senior researcher: jobs.careers.microsoft.com/global/en/job/… ⚛️Senior software engineer: jobs.careers.microsoft.com/global/en/job/…

Today in the journal Science: BioEmu from Microsoft Research AI for Science. This generative deep learning method emulates protein equilibrium ensembles – key for understanding protein function at scale. msft.it/6010S7T8n

Partially-latent flow matching enables sequence-structure codesign of large proteins and functional motif scaffolding. Tomas Geffner Kieran Didi Zhonglin Cao Zuobai Zhang Christian Dallago Karsten Kreis @ ICML'25 Arash Vahdat ✈️ ICML2025