AlphaFold for RNA? Excited to share our @StanfordAILab work on deep learning for predicting 3D RNA structure, out today on the cover of @ScienceMagazine! science.sciencemag.org/conte… Sound interesting? Join us at atomic.ai to bring this work to life! More news soon!

Thrilled to launch RamaX: our platform for ultra-fast, accurate, and sensitive screening of massive binder libraries (from 1K to 1B minibinders, VHHs, or scFvs) in just 1-2 weeks. This method has been an absolute game-changer for us at @diffuse_bio. Internally, we’ve completely switched from yeast display to RamaX for screening our designs. We’re also using RamaX to generate enormous datasets to train our protein generative models. 🧵 1/

Exciting work out of the great team at @diffuse_bio on generative protein design, overcoming key limitations in nanobody screening! Nice job @namrata_anand2!

RNA targeting small molecules This could substantially expand the druggable space, but designing specific & functional binders to RNA is difficult, as we lack quality RNA structures. Atomic AI has built a ML model to predict RNA tertiary structure to guide small molecule design

It is my pleasure to see Atomic AI's Series A announced today! This is a huge step forward for us as we continue to grow our core AI structure platform, to help create a new field of RNA drug discovery. Thank you everyone who has been part of the adventure so far! #ml #rna

We’re excited to announce the close of our $35M Series A financing! Atomic AI is fusing artificial intelligence and structural biology to unlock RNA drug discovery, designing RNA-targeted and RNA-based medicines to treat undruggable diseases. businesswire.com/news/home/2…

What are the functional roles of 3D genome organization? In a new preprint led by @_prashantbhat, we demonstrate a critical role for dynamic 3D organization of genomic DNA around nuclear speckles in controlling the efficiency of mRNA splicing. biorxiv.org/content/10.1101/…

It was wonderful to have so many fellow researchers join us for Atomic AI Happy Hour after @workshopmlsb at last week's @NeurIPSConf. Interested in solving deep technical challenges with ML to cure disease? Come work with us open positions can be found at atomic.ai

Great to be returning to @workshopmlsb at NeurIPS, in-person this time representing Atomic AI! Come by and chat with out team if you are interested in opportunities in ML research in structural biology and RNA! Check out our website atomic.ai to learn more!

Honored to be nominated to #ForbesUnder30 for my work on #AI and #RNA! Here's to the next 30 years of innovation & discovery! Want to learn more? We are building on this work at Atomic AI (atomic.ai) and are hiring! forbes.com/30-under-30/2023/…

MLSB is back!! Truly an awesome community. Case in point: this was the only virtual event I went to during the pandemic that had a lively happy hour last several hours post close :)

The recording of our workshop is now openly available! Fantastic keynotes from John Jumper and Jane Richardson, a panel discussion with our invited speakers, and a fabulous lineup of invited and contributed talks. RT if you want this again next year! mlsb.io

Starting now!! 🥳 neurips.cc/virtual/2021/work…

Join us next Monday for an incredible lineup of talks, a panel on the future of ML in structural biology, poster sessions, and virtual happy hour! When: Dec 13, 9am-6pm ET Website: mlsb.io @NeurIPSConf website (needs registration): neurips.cc/virtual/2021/work… 1/🧵

MLSB (Machine Learning in Structural Biology) @NeurIPSConf starting in 30 mins! mlsb.io/#schedule

🚨Reminder - submissions for the #MLSB workshop at #NeurIPS2021 are due October 1, Anywhere on Earth (AoE)! Website: mlsb.io Submission: cmt3.research.microsoft.com/…

Pleased to announce the speaker lineup for our @NeurIPSConf workshop, ML in Structural Biology, featuring keynotes from John Jumper @DeepMind and Jane Richardson and invited talks by @mmbronstein, @BarzilayRegina, @LucyColwell37 @CecClementi, @keating_lab, @Dereklowe

That was last week. This week: predicting RNA structures with #AI science.sciencemag.org/conte… @raphaeljlt @StanfordAILab @DrorLab @amw_stanford @RDasLab @ramyarangan science.sciencemag.org/conte… @ScienceMagazine @UNC Kevin Weeks explainer

Super cool new paper using AI for structural biology led by @raphaeljlt. This work forms the basis of our new company, atomic.ai, where I'm leading the bioscience team. Can't wait to see how far we can take this!