Maxwell Kazman

Bio x ML PhD Student @ Baker Lab UW

[Julia Bonzanini @jBonzaniniSci]

Super excited about this work! We are finally able to not only screen binders for specificity, but design them to be specific 🤯 this will be transformational in the development of pMHC binders and therapeutics in general

[Kyle Tretina, Ph.D. @AllThingsApx]

Looking for a how-to blog on using RFD4-Proteina for protein design?

Start here:
https://t.co/ms3UvkgnHd

[UW Medicine Newsroom @uwmnewsroom]

RFD4-Proteina, co-developed by @UWproteindesign @UWMedicine & @NVIDIAHealth, debuts today at GTC Berlin. The open-source generative model will use biomolecular reasoning to find new protein solutions for medicine, sustainability, materials & biotech. https://t.co/GSy9hwvoRM

[nabajit (bio/acc) @TensorTwerker]

RFD4-Proteina's documentations are really underrated

[Kyle Tretina, Ph.D. @AllThingsApx]

Need compute to compete in protein design competitions like this one?

https://t.co/fedrGMwq4d

RFD4-Proteina is now on Hugging Face with two weeks of NVIDIA-sponsored access. 🧵👇

[Kieran Didi @DidiKieran]

Incredible privilge to work with @maxkazman, looking forward to take what we learnt with RFD4-Proteina and go far far beyond!

[NVIDIA Healthcare @NVIDIAHealth]

🔬 RFD4-Proteina joins Nemotron, Kumo, Cosmos, Alpamayo and Ising in today's NVIDIA open model release.

[Karsten Kreis @karsten_kreis]

It has been incredibly exciting to bring the RFdiffusion and Proteina model families together. An amazing release! 💜💚🔥🎉

And I am just as excited about the applications! 🧬

Massive congrats to @DidiKieran, @nscorley, @RafiBrent, @maxkazman and the many more contributors!

[Arash Vahdat @ArashVahdat]

🚀 Today at GTC Berlin we introduced RFD4-Proteina! A close one-year collaboration between GenAIR and David Baker's group at @UWproteindesign !

[Arash Vahdat @ArashVahdat]

Congratulations to @DidiKieran, @nscorley, @RafiBrent, @maxkazman, David Baker and many scientists and collaborators who made this possible! 💜💚

[Rafi Brent @RafiBrent]

What a wild ride! After a fantastic collaboration between @UWproteindesign and Nvidia GenAIR, we've released the latest in the RFdiffusion and Proteina lineages, namely... RFD4-Proteina! Computationally and in the lab, the results have astonished us🧵 1/n https://t.co/PPddK8nlsb

[Maxwell Kazman @maxkazman]

Hear more from the team: https://t.co/C9291Z0Npy
https://t.co/vK4ho6jkSV
https://t.co/rbgSsSEIlo

[Rafi Brent @RafiBrent]

What a wild ride! After a fantastic collaboration between @UWproteindesign and Nvidia GenAIR, we've released the latest in the RFdiffusion and Proteina lineages, namely... RFD4-Proteina! Computationally and in the lab, the results have astonished us🧵 1/n https://t.co/PPddK8nlsb

[Maxwell Kazman @maxkazman]

Great things come from great teams! Super excited to share https://t.co/TnVV8YAW3f, a step-function improvement in generative protein design! A year in the making with @UWproteindesign , NVIDIA GenAIR and the amazing @DidiKieran @nscorley and @RafiBrent! 🧵1/n

[Maxwell Kazman @maxkazman]

Expect more threads in the coming days -- so much to share and so many cool learnings!
Website: https://t.co/q3Qwx6kU0k
Paper: https://t.co/Lq5tP2yoVA
Code: https://t.co/lSpzSXk4Tp
Demo: https://t.co/kgTVA2NMCp
🧵n/n

[Maxwell Kazman @maxkazman]

Was super awesome to work with the great people at NVIDIA, especially the GenAIR team - @ArashVahdat @karsten_kreis @tomasgeffner

[NVIDIA Healthcare @NVIDIAHealth]

🧬 Design proteins faster and send fewer, better candidates to the lab.

Introducing RFD4-Proteina, a new NVIDIA BioNeMo open model co-developed with @UWproteindesign.
▫️Fast: 13× faster generation than RFdiffusion3 at 200 residues
▫️ Smart: state-of-the-art across 12+ protein design tasks
▫️ Programmable: set your design inputs and use test-time compute on harder problems

Start with our binder-design tutorial https://t.co/fmS7miF1VD

[Christian Dallago @sacdallago]

A step change in protein design: RFD4-Proteina is enables everyone today.

We partenered with @huggingface to make available a free space.

You can solve your hardest biology problem right now. No CS degree required: https://t.co/VcYse3Ddvx

More to come...

[Magnus Bauer @kinasekid]

Protein design doesn’t have to stop at the canonical 20 amino acids! After our work on phosphotyrosine binders, RFD4-Proteina adds phosphoserine and phosphothreonine (below) to the repertoire, with binders that distinguish adjacent H3pS10 and H3pT11 sites in the histone H3 tail!

[Robin Roehm @RoehmRobin]

@NVIDIAHealth and the Institute for Protein Design, led by Nobel laureate David Baker, just released RFD4-Proteina today at GTC Berlin, an open model that designs a protein’s sequence and structure together against a target. Apheris is a launch distribution partner. We run RFD4-Proteina on your own GPUs, inside your environment, and you can fine-tune it on your own structures and assays to design VHHs, antibodies, binders and enzymes and customize it to your chemistry.

[Maxwell Kazman @maxkazman]

Try out the model now!

[Deniz Kavi @kavi_deniz]

New de novo design model from Baker Lab + NVIDIA, available on Tamarind today.

We are excited to be working with @NVIDIAHealth to bring access to RFD4-Proteina on day 0.

[Nate Corley @nscorley]

1/n

Crossover episode! We introduce RFD4-Proteina, our latest design model - and the result of a year-long collaboration between the Baker Lab and NVIDIA GenAIR (the name says it all…). I hope you’ll agree - the results are astonishing. 🌐 Website: https://t.co/FRbZU8OiKy

[Kieran Didi @DidiKieran]

Avengers assemble: 1 year BakerLab + NVIDIA GenAIR = 🔥 https://t.co/Cd2qiugCJo

Presenting RFD4-Proteina, our latest protein design model, significantly better and faster than everything we compared against, both in silico and in the lab! 1/30