Jue Wang
@jueseph
Research scientist @googledeepmind. Formerly @UWproteindesign @ginkgo @HMS_SysBio.
I wrote a review (with @_JosephWatson @sid_thesci_kid ) on protein design using structure prediction models--i.e. hallucination, inpainting, diffusion. This approach to protein design started as a convenience but has turned out to be surprisingly powerful. cshperspectives.cshlp.org/content/early/…
In a medical milestone, a customized base editor was developed, characterized in human and mouse cells, tested in mice, studied for safety in non-human primates, cleared by @US_FDA for clinical trial use, manufactured as a complex with an LNP, and dosed into a baby with a severe,…
Protein function often depends on protein dynamics. To design proteins that function like natural ones, how do we predict their dynamics? @HWaymentSteele and I are thrilled to share the first big, experimental datasets on protein dynamics and our new model: Dyna-1! 🧵
Our team has a Student Researcher position available for this year! probably in something related to protein modeling & design. dates flexible, up to 20 weeks, in sunny mountain view - apply here if interested or reach out with any questions: google.com/about/careers/…
I’m excited to share our significantly-updated preprint on de novo antibody design, where we now demonstrate the structurally accurate design of scFvs (in addition to VHHs) with RFdiffusion! biorxiv.org/content/10.110…
Anna and Sam figured out subtle geometric details of serine hydrolase active sites, and then figured out how make new proteins which fold up to reconstruct those active sites with sub-angstrom accuracy and catalyze ester hydrolysis. They are absolutely savage and inspiring.
New research in Science represents a notable step forward in designing enzymes from scratch. With a new approach, researchers designed an enzyme that uses a covalent intermediate to catalyze a two-step reaction, analogous to what many proteases do when breaking apart proteins.…
Deep mutational scanning of Rubisco, from @NoamPrywes @SavageCatsOnly (I really liked the note in the "Behind the paper" section): nature.com/articles/d4158…
We are all born with a genetic lottery. Millions of T cell receptors are what we have with a hope to defend all cancer and viruses. What if that's not enough? Hope our work can give an interesting answer to you. biorxiv.org/content/10.110…
After showing that AF2 can be used to design very large proteins by performing #RSO, I am happy to share another fun project we did: the #af2cycler @sokrypton @hendrik_dietz biorxiv.org/content/10.110…
Incredibly excited to share new results from Nabla Bio where we show we can design antibodies de novo for use in therapeutic discovery. We introduce JAM, an AI system we’ve developed to design de novo antibodies with good affinities, early stage developability, and function.…
Excited to announce our new #proteindesign strategy for allosterically controlling the kinetics of protein-protein interactions! Read on for cool applications in cytokine signaling, biosensing, and protein circuits. biorxiv.org/content/10.110…
My team at Deepmind (protein design) is hiring an experimentalist with enzyme expertise. Please RT and/or apply! I'm happy to answer any questions as well. boards.greenhouse.io/deepmind/jobs/…
The #AlphaFold 3 model code and weights are now available for academic use. We @GoogleDeepMind are excited to see how the research community continues to use AlphaFold to address open questions in biology and new lines of research. github.com/google-deepmin…
We love the excitement & results from the community on AlphaFold 3 and are doubling the AF Server daily job limit to 20. Happy to also share that we're working on releasing the AF3 model (incl weights) for academic use, which doesn’t depend on our research infra, within 6 months.
🔴 LIVE in 25 minutes: Computational Protein Design Then & Now (1988-2024) A free one-hour webinar featuring: David Baker (UW) Steve Mayo (Caltech) Bill DeGrado (UCSF) Brian Kuhlman (UNC) youtube.com/live/BuJGTn7Oh…
In a new article for @Nature, journalist @Sara_Reardon explores “Five structural-biology questions that still challenge AI,” along with a number of experts in the field including John Ingraham, our Head of Machine Learning, @khmelinskaia, David Baker (@UW), @jueseph,…
Congrats to the team for this incredibly bizarre and perplexing result. Leaving out a chaperone causes hornwort rubisco to be formed in a stalled folding intermediate...which is substantially _faster_ than the normal fold???
Unique biogenesis and kinetics of hornwort Rubiscos revealed by synthetic biology systems: Molecular Plant cell.com/molecular-plan… @MPlantPCom
Remember Golden Gate Claude? @etowah0 and I have been working on applying the same mechanistic interpretability techniques to protein language models. We found lots of features and they’re... pretty weird? 🧵
Finally, out in @ScienceMagazine today, our work on de novo protein design. Together with @HattoriLab , @sokrypton & @hendrik_dietz we showed how we can drastically improve AF2 based hallucination, surpassing, or reaching SOTA diffusion models doi.org/10.1126/scienc…
Now online: We created de novo insulin receptor agonists using computational protein design! @EunheeChoi12 @XiaochenB @PreethamVi @UWproteindesign #BakerLab biorxiv.org/content/10.110…
Nobel Prize is NOT about h-index or citations. It is about the emergence of big new fields. So many posts discuss Nobel awardees. And so many misunderstand the Nobel Prize. 📍 A bit of clarification from my side: 1⃣ Nobel Prize is NOT about how useful your work is. It’s about…
With David and the Baker Lab in the spotlight today, I wanted to share some insights into the @UWproteindesign and how it operates, a glimpse behind the curtain. I had planned to write this post-graduation, but now seems as good a time as any. (Got twitter blue free trial so this…
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”