Joanna Slusky 🫖

🚨Exciting paper🚨We made a data set of 1.9 million outer membrane proteins (OMPs) and used it to figure out general features of this protein class— 11 lineages! New sequence motifs! Evolutionary variations on the beta signal! pnas.org/eprint/S3URQU2… 🧵

@ferruz_noelia Thanks! You delivered the most engaged audience!

We have the honor to have Joanna @SluskyLab in town! If you’re in Barcelona and like protein design, don’t miss her talk - Joanna always delivers the most engaging talks!

@arneelof Yes! You show up in the search now!

@SluskyLab Thanks, i added a bio and name hope that helps

It is starting, please follow Roland and me and others

@SluskyLab and her truck load of beta barrels at #rosettacon.

Come see the scientists that should've shared the Nobel Prize for "Computational Protein Design", speak: ipd.uw.edu/protein-design…

@cispt2 💯

These laureates are VERY deserving. But an important addendum—no model could be trained without 40 years of Helen Berman and others’ work at the PDB, and we would not be certain of AF’s success without 30 years of John Moult and others’ work on CASP. Hats off to them as well 🥂

Years ago I decided to only publish and serve on @plantdisease journals. I have an automated response I use for requests from other journals. Recently, several colleagues have asked me for it, so decided to share here in case it is helpful 😁 #AcademicChatter

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 could all fit in less tweets!) First, the lab is enormous. ~60 grad students, ~60 postdocs, a handful of visitors, undergrads, and a surrounding institution of another 150 or so. Collaboration is strongly encouraged (even mandated) by David, who sets up pro-collaboration incentives. Notably, he's fine with grad students graduating without a sole first-author paper—it's acceptable to "only" have worked as a co-first author. This is a key ingredient in the secret sauce: the tight collaboration between wet lab and dry lab. It ensures that all our work is ultimately grounded in strong wet-lab validation—our "oracle" is the real world, not another computational model. While we have regular meetings for different subgroups and the entire group, much information travels through the lab via informal one-on-one interactions. In some ways, it reminds me of a classic "tribe of humans in the state of nature"—100-200 people with no clear hierarchy, passing information via "gossip". It’s maybe not the most complete way of ensuring everyone is on the same page, but saves time as we aren’t drowning in endless meetings. Does David stay in touch with all these grad students and post-docs? Remarkably, yes. Unlike some very large labs known for being run entirely by post-docs, he knows exactly what everyone is working on and the stage of their projects. Each member has monthly one-on-ones with him, and monthly subgroup meetings that David attends. If he suggests you try something at your previous one-on-one, you'd better have it done by the next. Does he actually contribute research ideas, or is he more of a detached big-picture project manager? Definitely the former. He understands the intricacies of a shocking range of topics. I'll be discussing some arcane deep learning concept with him, and then he'll turn around and talk to someone about the details of a catalytic mechanism. He's actually the most hands-on PI I've ever had—if anything, he verges on over-managing rather than being too detached. How does he keep track of everything? Partly, he's just a brilliant person with exceptional recall. But he has also built infrastructure above and below him in the lab to handle many of the details, bureaucracy, big picture, and management tasks. This allows him to spend most of his day doing what he's most passionate about and skilled at: walking around talking to people about science. He also lives very much in the moment and in his own words, “never thinks very far ahead". To keep up with tools, methods, and wet lab techniques, he does the occasional project and design campaign himself on the side when time allows. It's still a tremendous cognitive load to keep all this in his head, but as much as possible, he has offloaded non-scientific cognitive burdens. It helps that he’s in the lab in person most days of the year, rarely traveling for conferences or talks, instead doing them over Zoom or not attending. (1/2).

@ATinyGreenCell @keating_lab @OraFurman @BirteHoecker @ferruz_noelia @_amelie_rocks @ParisaH_Lab @htkratochvil @khmelinskaia @AnastassiaVoro2 @KortemmeLab Minkyung Baek too

@ATinyGreenCell @keating_lab @OraFurman @BirteHoecker @ferruz_noelia @_amelie_rocks @ParisaH_Lab @htkratochvil @khmelinskaia @AnastassiaVoro2 I’ll just keep adding to my mistakes. @KortemmeLab also Tracy Handel

Can someone please start a thread of women in protein design? It's not my field so I can't immediately tag accounts but it would be a nice way to bring attention, especially in light of the currently all-male Nobel run this year. Happy to amplify for reach. TYIA!

This year's chemistry #NobelPrize is all about proteins! Baker, Jumper and Hassabis' contributions will allow scientists to tackle challenges like antibiotic resistance and plastic degradation. ow.ly/ViNb50THRRu ©Johan Jarnestad Royal Swedish Academy of Sciences

@may_khanna I have enough likes for everyone!

@SluskyLab But the west coast is not awake yet. A lot more is coming 😂😂

Me pressing like on every single post on twitter 👇👇👇👇👇👇👇

In honor of today’s Nobel prize

@eriklindahl @WillPPK Same! I was going to give a lecture on this prize (whatever it would be) but I’ve already given 3 lectures on these topics. Guess we’ll just eat cake. 😉

You know how at Jewish life cycle events everyone is wishing mazal tov to everyone even though you’re just guests talking to other guests? That’s the vibe when your field wins the Nobel prize. Mazal tov to David Baker most of all, and mazal tov to all protein designers!

Huge day for protein design and structure prediction 🎉🎉🎉 the tools these men and their teams have developed will lead to scientific discoveries for many years (decades?) to come!