Founder & CEO of Atomic AI (https://xitter.cf/t.co/lb3M8gEIaF, we are hiring!). Forbes 30u30. CS PhD @StanfordAILab. Machine Learning, Structural Biology.
Menlo Park
Joined October 2014
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Raphael Townshend retweeted
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/
Raphael Townshend retweeted
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
Raphael Townshend retweeted
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…
Raphael Townshend retweeted
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/…
Raphael Townshend retweeted
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
Raphael Townshend retweeted
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
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/🧵
Raphael Townshend retweeted
Starting now!! 🥳
neurips.cc/virtual/2021/work…
Raphael Townshend retweeted
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/🧵
Raphael Townshend retweeted
MLSB (Machine Learning in Structural Biology) @NeurIPSConf starting in 30 mins!
mlsb.io/#schedule
Raphael Townshend retweeted
🚨Reminder - submissions for the #MLSB workshop at #NeurIPS2021 are due October 1, Anywhere on Earth (AoE)!
Website: mlsb.io
Submission: cmt3.research.microsoft.com/…
Raphael Townshend retweeted
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
Raphael Townshend retweeted
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
Raphael Townshend retweeted
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!
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!
Raphael Townshend retweeted
Congrats to Ron Dror, @raphaeljlt, Stephan Eismann, and Masha Karelian at @DrorLab and coauthors at @RDasLab for the front page of @ScienceMagazine
Geometric deep learning of RNA structure science.sciencemag.org/conte…
Perspective science.sciencemag.org/conte… Podcast fcld.ly/n1je7bt
Raphael Townshend retweeted
Geometric deep learning of RNA structure
@DrorLab @RDasLab @raphaeljlt Stephan Eismann @amw_stanford @StanfordAILab @ramyarangan @ScienceMagazine
Paper science.sciencemag.org/conte…
Perspective by Kevin Weeks @unc science.sciencemag.org/conte…
Podcast fcld.ly/n1je7bt
Raphael Townshend retweeted
Now out on the cover of @ScienceMagazine:
Our work with @RDasLab on predicting 3D RNA structures!
science.sciencemag.org/conte…
Check out the official press release:
news.stanford.edu/2021/08/26…
and our earlier work on protein complexes:
doi.org/10.1002/prot.26033
Raphael Townshend retweeted
Out today in @ScienceMagazine - our work in collaboration with @DrorLab on ARES: a geometric deep learning algorithm that can identify accurate 3D RNA structures: science.sciencemag.org/conte…. Congrats to lead authors @raphaeljlt @amw_stanford and Stephan Eismann!
Raphael Townshend retweeted
New @ScienceMagazine podcast: New insights into endometriosis w/ @rachel_fritts, predicting RNA folding w/ @raphaeljlt, and the surprising career of the spirometer w/ @LundyBraun sciencemag.org/podcast/new-i…
ALT Folded RNA 3D structures illustration by C. Bickel/Science
Raphael Townshend retweeted
Proteins are not static bricks! Feasibility study to infer a continuous distribution of all states using an end-to-end model from Cryo-EM images to atom coordinates: arxiv.org/abs/2106.14108.
@danrsm, @GarneloMarta, @MichaelZielins, @JonasAAdler, @arkitus, @CarlDoersch, @pushmeet
Raphael Townshend retweeted
We are delighted to announce the release of structural models for 6,370 families of unknown structure provided by Baker group @UWproteindesign: xfam.wordpress.com/2021/03/0… (funded by @BBSRC) #structureprediction #trRosetta #structuralbiology #deeplearning #AI
