Raphael Townshend

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/content/373/65… 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

@davidkmyang Love the overview and thanks for the callout David! Finding the intersection between critical gaps in drug discovery and where AI's capabilities can shine is really key IMO

Unlike small molecules and antibodies which have decades-refined design strategies, new modalities lack a playbook. This may be where AI can be particularly valuable today. Some companies exemplifying this strategy 🧵

Purpose-built experiments for purpose-built machine learning, the whole greater than the sum of its parts, to help improve and save lives. :)

Excited to see this out! Atomic was built from the ground up to fuse both cutting-edge experimental work and AI, and the ATOM-1 foundation model is a beautiful example of this in action. Onwards and upwards to unlocking a whole new world of RNA-focused therapies! #ATOM1 #RNA

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/2023…

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/10.110…

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!

@simonbatzner Thanks Simon!

@raphaeljlt Well deserved, Raphael, congrats.

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-30/20…

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 :)

@ZhongingAlong @Princeton Late to the party, but huge congrats Ellen :)

I am thrilled to share that I will be starting as an Asst Professor of Computer Science at @Princeton this summer! Really excited for the future of machine learning in structural biology and honored to have the opportunity to lead a group in this exciting area! #proteins247 1/

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/w…

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/w… 1/🧵

MLSB (Machine Learning in Structural Biology) @NeurIPSConf starting in 30 mins! #schedule" target="_blank" rel="nofollow noopener">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/MLSB2021