RFpeptides made it to the cover of Nature Chemical Biology December issue! Credit to Stephen Rettie for leading the work and making this very cool graphic!

Nature Chemical Biology@natchembio.nature.com · 8mo ago

Our December issue is live! www.nature.com/nchembio/vol... The cover depicts a diffusion-based generative deep learning pipeline for de novo design of a macrocyclic peptide targeting the protein, myeloid cell leukemia 1

Our December issue is live! www.nature.com/nchembio/vol... The cover depicts a diffusion-based generative deep learning pipeline for de novo design of a macrocyclic peptide targeting the protein, myeloid cell leukemia 1

Glad that we could contribute to this very cool work by @yehlincho.bsky.social and @sokrypton.org! See the nice skeetorial below by Yehlin. More to come soon with experimental validation and exciting applications in protein and peptide design.

Yehlin Cho@yehlincho.bsky.social · 10mo ago

Thrilled to announce our new preprint, “Protein Hunter: Exploiting Structure Hallucination within Diffusion for Protein Design,” in collaboration with @Griffin, @GBhardwaj8 and @sokrypton.org 🧬Code and notebooks will be released by the end of this week. 🎧Golden- Kpop Demon Hunters

(1/7) Training biomolecular foundation models shouldn't be so hard. And open-source structure prediction is important. So today we're releasing two software packages: AtomWorks and RosettaFold3 (RF3) [https://www.biorxiv.org/content/10.1101/2025.08.14.670328v2](www.biorxiv.org/content/10.1...)

Accelerating Biomolecular Modeling with AtomWorks and RF3

Deep learning methods trained on protein structure databases have revolutionized biomolecular structure prediction, but developing and training new models remains a considerable challenge. To facilita...

biorxiv.org

We are very excited to announce that early bird registration for European RosettaCon 2025 is now open! More information here: europeanrosettacon.org

Ajasja💻🧬🔬@ajasjaljubetic.bsky.social · last yr.

Early bird registration for 𝐄𝐔 𝐑𝐨𝐬𝐞𝐭𝐭𝐚 𝐂𝐨𝐧 𝟐𝟎𝟐𝟓 is open! 🎉🎉🎉 Come join us for three days of protein design fun! (October 20-22, 2025) Direct registration link: pretix.eu/SBD/RCon2025/ Website: europeanrosettacon.org We are looking forward to seeing you! Please share this far and wide:)

Great to have our manuscript with @sokrypton.org 's lab describing AfCyDesign finally out in @natcomms.bsky.social . Structure prediction, sequence redesign, de novo hallucination of cyclic peptides, and some binder design examples in this version. rdcu.be/em0vA

Cyclic peptide structure prediction and design using AlphaFold2

Nature Communications - AfCycDesign: Cyclic offset to the relative positional encoding in AlphaFold2 enables accurate structure prediction, sequence redesign, and de novo hallucination of cyclic...

rdcu.be

1/ In two back-to-back papers, we present our de novo TRACeR platform for targeting MHC-I and MHC-II antigens TRACeR for MHC-I: go.nature.com/4gcLzn5 TRACeR for MHC-II: go.nature.com/4gj5OQk

Today, several #NobelPrize Laureates arrive in Stockholm, warmly welcomed by Hans Ellegren. Here we see David Baker stepping off the plane at Arlanda. This week is packed with inspiration, press conferences and lectures, so stay tuned! 🌟 @uofwa.bsky.social @hhmi.bsky.social #Science #AcademicSky

Hats off to the people compiling all those starter packs—it has made the move to this site so much easier!

Here goes the skeetorial for the latest preprint from our lab describing RFpeptides, a pipeline for design of target-binding macrocycles using diffusion models. Big shoutout to Stephen Rettie, David Juergens, Victor Adebomi for leading the project (1/n) Preprint link: www.biorxiv.org/content/10.1...

Super excited to share the latest preprint from our lab on macrocycle binder design! Skeetorial (or whatever they are called) to follow soon. Thanks to all the amazing collaborators! www.biorxiv.org/content/10.1...

Accurate de novo design of high-affinity protein binding macrocycles using deep learning

The development of macrocyclic binders to therapeutic proteins has typically relied on large-scale screening methods that are resource-intensive and provide little control over binding mode. Despite c...

biorxiv.org