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Magnus Bauer

@kinasekid.bsky.social
203 followers 282 following 21 posts

Enjoying life one molecule at a time! / Postdoc @UWproteindesign / ex @Stanford / PhD @LMU_Muenchen / tweeting in English, thinking in Bavarian, coding in Python

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Magnus Bauer @kinasekid.bsky.social · 30/09/2026
OpenAI’s dot is a protein designer now 😂 It runs RFdiffusion/MPNN/AF2 on its cloud computer, tracks progress in a scratchpad, and opens the predicted designs in PyMOL to click through. All on CPU. Time to enter the Anthropic × Adaptyv competition with this setup? Wish me luck 😆
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Magnus Bauer @kinasekid.bsky.social · 10/09/2026
I didn't thoroughly benchmark it but for my usual test cases it did a good job! Its super helpful for quickly testing things especially when you make it a codex skill!
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Magnus Bauer @kinasekid.bsky.social · 07/09/2026
Nice new resource for getting into machine learning for biology 🧬 BioTorch has 116 hands-on PyTorch exercises covering models like AlphaFold2, ESM2, and RFDiffusion. Implement their basic building blocks, test your code, and see how the models work. It is free during beta! biotorch.chrishayduk.com
biotorch.chrishayduk.com
BioTorch · Build intuition for biological AI
BioTorch is a practice workspace for the PyTorch building blocks of biological AI. Implement tensor operations, test values and gradients, and return to adaptive reviews.
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Magnus Bauer @kinasekid.bsky.social · 06/09/2026
AlphaFold Server’s ligand menu just got a lot bigger and I almost missed it! You can now add any ligand from the wwPDB Chemical Component Dictionary. Just enter its CCD code 🥳
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Magnus Bauer @kinasekid.bsky.social · 05/09/2026
I’m seeing more biosafety checks with Astra, but I prefer OpenAI’s approach to take an extra look before deciding whether to refuse. I’d rather wait a little longer than have legitimate biology blocked. Assess the request, not just the word “protein.” help.openai.com/en/articles/...
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Behnam Nabet @behnamnabet.bsky.social · 17/07/2026
What if we could design proteins to precisely control cell behavior? I’m thrilled to share our latest work, led by @kinasekid.bsky.social, @sauravk05.bsky.social, Mia Donald-Paladino, and Dongyang Li, developing de novo miniproteins that activate or inhibit kinases. www.biorxiv.org/content/10.6...
biorxiv.org
De novo design of selective kinase modulators
Protein kinases are critical regulators of cellular signaling, but precise modulation of their activity remains challenging due to their high structural conservation. Here, we present de novo designed...
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Magnus Bauer @kinasekid.bsky.social · 14/07/2026
Also check out our sibling preprint from Richard Bayliss’s lab, “Selective miniprotein inhibitors of Aurora-A kinase designed using interaction-motif scaffolding.” It targets substrate recognition and complements our conformational FAK modulators. 🥳😊 doi.org/10.64898/202...
doi.org
Selective miniprotein inhibitors of Aurora-A kinase designed using interaction-motif scaffolding
Targeting kinase ATP-binding sites has produced many successful therapeutics, but selectivity remains a major challenge. We hypothesised that substrate-recognition surfaces could provide an alternativ...
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Magnus Bauer @kinasekid.bsky.social · 14/07/2026
This was a highly collaborative three-year effort. Thanks to every co-author, especially Saurav, @behnamnabet.bsky.social and Mia, without whom this would not have been possible; Daniel Lietha for a decade of collaboration; and David at @uwproteindesign.bsky.social for his guidance and vision! 🤗
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Magnus Bauer @kinasekid.bsky.social · 14/07/2026
The inhibitors and activators also robustly controlled FAK activity in cells. They bound FAK and produced distinct effects on signaling and cell spreading. The inhibitors also reduced 3D-spheroid viability to a similar extent as a small-molecule FAK inhibitor or degrader.
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Magnus Bauer @kinasekid.bsky.social · 14/07/2026
Selectivity was a key goal. Across a panel of 10 kinases from different families, the inhibitors strongly targeted FAK while showing little activity against the other kinases, even at concentrations well above those needed for FAK inhibition.
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Magnus Bauer @kinasekid.bsky.social · 14/07/2026
We put 96 designs through a FRET-based Focal Adhesion Kinase (FAK) activity screen. We found 33 hits: 30 inhibitors (FAK_I) and 3 activators (FAK_A). The strongest designs could either shut down FAK or boost its activity by more than twofold. - doi.org/10.64898/202...
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Magnus Bauer @kinasekid.bsky.social · 14/07/2026
Can we program a kinase like a switch? Inspired by natural autoinhibitory complexes, we designed miniproteins against active- and inactive-like conformations of Focal Adhesion Kinase. Depending on the targeted state, the resulting binders either activated or inhibited the kinase.
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Krishna Mudumbi @krishnamudumbi.bsky.social · 29/01/2026
Not new, but a new to us update: The first preprint out of my lab! We joined forces with @kinasekid.bsky.social @jasonzxzhang.bsky.social and David Baker to study protein phosphorylation! Congrats to Isabella from my lab on her first first author paper! tinyurl.com/43jwwfua
biorxiv.org
De novo design of phosphotyrosine peptide binders
Phosphorylation on tyrosine is a key step in many signaling pathways. Despite recent progress in de novo design of protein binders, there are no current methods for designing binders that recognize phosphorylated proteins and peptides; this is a challenging problem as phosphate groups are highly charged, and phosphorylation often occurs within unstructured regions. Here we introduce RoseTTAFold Diffusion 2 for Molecular Interfaces (RFD2-MI), a deep generative framework for the design of binders for protein, ligand, and covalently modified protein targets. We demonstrate the power and versatility of this method by designing binders for four critical phosphotyrosine sites on three clinically relevant targets: Cluster of Differentiation 3 (CD3ε), Epidermal Growth Factor Receptor (EGFR), Insulin Receptor (INSR) and Signal Transducer and Activator of Transcription 5 (STAT5). Experimental characterization shows that the designs bind their phosphotyrosine containing targets with affinities comparable to native binding sites and have negligible binding to non-phosphorylated targets or phosphopeptides with different sequences. X-ray crystal structures of generated binders to CD3ε and EGFR are very close to the design models, demonstrating the accuracy of the design approach. A designed binder to an EGFR intracellular region phosphorylated upon EGF activation co-localizes with the receptor following EGF stimulation in single-particle tracking (SPT) experiments, demonstrating pY specific recognition in living cells. RFD2-MI provides a generalizable all-atom diffusion framework for probing and modulating phosphorylation-dependent signaling, and more generally, for developing research tools and targeted therapeutics against post-translationally modified proteins. ### Competing Interest Statement The authors have declared no competing interest. NIH NCI, 1K99CA293001
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Jason Zhang 🏳️‍🌈🇺🇸 @jasonzxzhang.bsky.social · 29/01/2026
It was such a fun journey working with Krishna’s lab and @kinasekid.bsky.social! Really excited to see where this phospho-binder technology goes!
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Yehlin Cho @yehlincho.bsky.social · 13/10/2025
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
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Magnus Bauer @kinasekid.bsky.social · 30/09/2025
We’d love to hear ideas for where phosphorylation - or PTM-specific binders could make a difference. If you’re interested in collaborating, please reach out! (8/8)
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Magnus Bauer @kinasekid.bsky.social · 30/09/2025
This was only possible in a team effort with great people! Thanks @jasonzxzhang.bsky.social, Kejia Wu, Brian Coventry, Gyu Rie Lee, Kody Klupt, Jiuhan Shi, Rafael Brent and the entire @uwproteindesign.bsky.social, with guidance from David Baker and many collaborators. 🙏 (7/8)
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Magnus Bauer @kinasekid.bsky.social · 30/09/2025
Specificity matters. An all-by-all assay showed strong diagonal binding - each binder recognized only its cognate phosphopeptide, with negligible cross-reactivity. (6/8)
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Magnus Bauer @kinasekid.bsky.social · 30/09/2025
Crystal structures of CD3ε and EGFR complexes matched design models within ~2 Å. The intended phosphate-binding motifs were reproduced with atomic accuracy, validating the approach. (5/8)
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Magnus Bauer @kinasekid.bsky.social · 30/09/2025
We tested four sites: CD3ε (TCR), EGFR pY1068 & pY1173, INSR pY1361. In each case, RFD2-MI produced compact proteins that selectively bound the phosphorylated peptide, confirmed by yeast display & BLI with comparable affinities to native phosphorylation binding domains. (4/8)
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Magnus Bauer @kinasekid.bsky.social · 30/09/2025
We built RFD2-MI, an all-atom diffusion model for molecular interfaces based on RFD2. It co-designs binder + peptide and uses 1D conditioning features like hotspots, secondary structure, and solvent exposure to steer phosphate-pocket formation. (3/8)
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Magnus Bauer @kinasekid.bsky.social · 30/09/2025
Existing tools fall short: antibodies can’t always tell sites apart, and natural domains like SH2 struggle with specificity. We needed a way to design de novo binders that are both phosphorylation- and sequence-specific. (2/8)
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Magnus Bauer @kinasekid.bsky.social · 30/09/2025
Phosphorylation on tyrosines control key pathways in immunity, cancer, and metabolism. For the first time, we can now design proteins that specifically recognize individual phosphotyrosines, even in disordered regions. (1/8) Preprint: www.biorxiv.org/content/10.1...
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Nate Corley @ncorley.bsky.social · 15/08/2025
(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) [www.biorxiv.org/content/10.1101/202…...)
biorxiv.org
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...
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Magnus Bauer @kinasekid.bsky.social · 07/03/2025
Who knew a Nobel Prize win could unlock an entire city? Join us live on YouTube as we celebrate 2024 Nobel Laureate David Baker together with the Mayor of Seattle and many others on March 10th starting at 5 pm (PT)! 🥇🔑🌇 www.youtube.com/live/z8NO4Bg...
youtube.com
Celebrating Seattle's 2024 Nobel Prize with Professor David Baker
YouTube video by UW Medicine
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Simon Mathis @simonmathis.bsky.social · 25/11/2024
A weekend project from a while back -- this little package (with no dependencies) allows you to interact with pymol remotely. I use it a lot for my protein design workflows together with @biotite.bsky.social. Just `pip install pymol-remote`
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Karel "CaCO3" Berka @krapnik.bsky.social · 06/12/2023
#CompChemSky 🧶🖥️🧬🧪 I wonder, is there any computational approach, that would find protein in PDB according to any arbitrary shape?
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Magnus Bauer @kinasekid.bsky.social · 07/12/2023
I would also be very interested in find some alternative letters, for example a B and P for a new ‘I ❤️ Biophysics’ sticker. Currently its hard to read for some people even with the Howarth and Chroma alphabet. SARS-CoV-2 NSP13 provided an amazing heart btw!
Sticker on a laptop saying 'I <3 Biophysics' with all the letters taken form protein structures from the PDBNew sticker design saying 'I <3 Biophysics' with a different heart from SARS-CoV-2 NSP13
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Florian Praetorius @flopraetorius.bsky.social · 28/11/2023
The Praetorius lab for Biomolecular Design at the Institute of Science and Technology Austria (ISTA) is looking for grad students in 2024. If you are interested in protein design at a great institute near Vienna reach out to me! www.dropbox.com/scl/fi/6iny2...
dropbox.com
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Sergey Ovchinnikov @sokrypton.org · 18/11/2023
Update on the Chroma vs RfDiffusion analysis. ProteinMPNN just doesn't like Chroma's backbones (poor prediction of proteinMPNN generated sequences by ESMFold). Interestingly, Chroma's own sequence design method (which was trained in the context of partially noise backbones) loves it! (1/3)
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Diego del Alamo @delalamo.xyz · 31/10/2023
"Performance and structural coverage of the latest, in-development AlphaFold model" 🧪🧶🧬 DeepMind & Isomorphic Labs sharing some updates (but no code) on what is presumably alphafold 3, capable of modeling ligands, nucleic acids, antibody-antigen complexes etc storage.googleapis.com/deepmind-med...
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