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I’m happy to share that I will join the LIT in Regensburg (lit.eu) as a Group Leader in Structural Biochemistry in May! More updates on Bluesky or LinkedIn 🙂. (This will be my last post here for now.)
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Leo Scheller
936 posts
Leo Scheller
@Scheller123
Mammalian #synbio 🧬: Protein design for immunotherapy, CAR-T, receptors, signaling - https://t.co/djV9IKPxGg
Switzerland Katılım Mart 2018
991 Takip Edilen861 Takipçiler
Leo Scheller retweetledi
This is 🔥🔥🔥!
@MartinPacesa, Lennart Nickel, @befcorreia @sokrypton, et al. developed BindCraft - an open-source pipeline to design de novo binders for basically any protein of interest.
We asked if we could design binders for CbAgo - a DNA-guided DNA interfering Argonaute..
Martin Pacesa@MartinPacesa
We updated our BindCraft preprint with lots of new exciting results! We release all our binder sequences and models, include more in silico analysis, novel design targets, and present AAV retargeting to specific cell types using de novo binders! biorxiv.org/content/10.110…
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Leo Scheller retweetledi
This is great! @NIAIDNews have launched a collection of public domain illustrations (currently 550 individual icons) bioart.niaid.nih.gov
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Leo Scheller retweetledi
Leo Scheller retweetledi
Congratulations to David Baker on receiving the #NobelPrize in #Chemistry! 👏 As a Distinguished Affiliated Professor at our university, the #biochemist is being awarded the prize for his work in the field of computational #proteindesign: go.tum.de/230045
📷U.Benz
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Leo Scheller retweetledi
This year’s #NobelPrize in Chemistry has gone to David Baker “for computational protein design,” and Demis Hassabis and John Jumper “for protein structure prediction.” bit.ly/481QGTT
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Leo Scheller retweetledi
Excited to join the Gene Center at LMU @GeneCenter_LMU @LMU_Muenchen as a professor, looking forward to design some cool and unusual de novo proteins here!
Gene Center Munich@GeneCenter_LMU
🥳 We welcome Lukas Milles as new group leader🤗🤗! Since July 2024, he's leading an Emmy Noether Research Group at MPI Biochemistry, now also affiliated with us! 💻🧪 His work focuses on protein design, deep learning & biophysics. genzentrum.uni-muenchen.de/research-group… @LFMilles @MPI_Biochem
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Leo Scheller retweetledi
Doing good science is 90% finding a science buddy to constantly talk to about the project.
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Leo Scheller retweetledi
If you or someone you know is curious about #splicing, the Beusch lab (beuschlab.org) @Uni_WUE is hiring PhD students! Check out the official advertisement here: rb.gy/6432qj - still a chance to apply till Oct 15th!
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Leo Scheller retweetledi
Here is the link to the Colab, let us know if you have any problems or you have a hard target our pipeline cannot design against! We want to keep improving it and community feedback is very important 🙏🏻💻
colab.research.google.com/github/martinp…
Martin Pacesa@MartinPacesa
Then I thank @befcorreia for his awesome guidance! The pipeline is based on and uses components from the fantastic work from @sokrypton ColabDesign, @RosettaCommons PyRosetta, and @JustasDauparas ProteinMPNN.
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Leo Scheller retweetledi
Have you ever wanted to design protein binders with ease? Today we present 𝑩𝒊𝒏𝒅𝑪𝒓𝒂𝒇𝒕, a user-friendly and open-source pipeline that allows to anyone to create protein binders de novo with high experimental success rates. @befcorreia @sokrypton
biorxiv.org/content/10.110…
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Leo Scheller retweetledi
There is a new tool on BioIcons to turn any protein (in PDB format) into a 2D vector illustration in SVG format. You can upload any PDB file or import from PDB, AlphaFoldDB or ESMFoldDB. Feedback welcome :)
bioicons.com/pdb2vector/
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Congratz Martin and Lennart, to me this is not unexpected at all 😁 👏 🙌
Martin Pacesa@MartinPacesa
Wow, this is really unexpected! Designs were done together with Lennart Nickel in @befcorreia lab. Our pipeline will be fully open source and preprint online hopefully next week 🙂
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Leo Scheller retweetledi
Wow, this is really unexpected! Designs were done together with Lennart Nickel in @befcorreia lab. Our pipeline will be fully open source and preprint online hopefully next week 🙂
Kelvin Lau 🧬🧪💎@klausenhauser
Congrats to @MartinPacesa !!! The first two hits were pretty much identical to known binders so are not counted in the leaderboard
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Leo Scheller retweetledi
Congrats to @MartinPacesa !!! The first two hits were pretty much identical to known binders so are not counted in the leaderboard
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Leo Scheller retweetledi
In this new @CIR_AACR study, Drs. @darelmb, @MiglioriniDenis, and team at @unige_en validate PTPRZ1 as a #glioblastoma target and prompt the clinical translation of anti-PTPRZ1 CAR T cells. 🥼
Give it a read: bit.ly/3zmteUq
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Leo Scheller retweetledi
IL2 muteins with directed disruption of aggregation sites enable enhanced specificity coupled to improved production capacity @LabListon
doi.org/10.1101/2024.0…
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Leo Scheller retweetledi
AlphaFold3 reproduced and params/code released. 🤩
Tanishq Mathew Abraham, Ph.D.@iScienceLuvr
Technical Report of HelixFold3 for Biomolecular Structure Prediction The PaddleHelix research team at Baidu have released their AlphaFold3 replication under an open-source noncommercial license. Performance approaches that of AlphaFold3. abs: arxiv.org/abs/2408.16975 website: paddlehelix.baidu.com github: github.com/PaddlePaddle/P…
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Leo Scheller retweetledi
Leman Biotech is excited to announce the successful treatment of the first pediatric patient with an extremely low dose (1%), who achieved complete remission and was discharged without complications. linkedin.com/pulse/first-pe…
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Leo Scheller retweetledi
The Google Colab version of RFdiffusion with the conditional fold generation option worked well! We successfully placed two helices in the beta barrel structure. The RMSD between prediction and X-ray is only 0.3 Å!
colab.research.google.com/github/sokrypt…
colab.research.google.com/github/sokrypt…
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