Yes some of them are. We had so many data points that it was impossible to just repeat and standardize it all with one cell line. For a few that I did k562 side by side with T2, the difference between pep vs no pep was the same in both.
27.11.2025 04:51 β π 1 π 0 π¬ 0 π 0
We had no reactivity against K562 WT. I know it's phenotypically HLA- but I don't know if it's B2M- or HLA-. Would that be what you were looking for?
25.11.2025 22:28 β π 1 π 0 π¬ 1 π 0
I think conditioned kn that you know these are binders you probably can find the most self-reactive (usually with ridiculously high binding signal). But a lot of the others wouldnβt score poorly and still be non specific.
25.11.2025 14:45 β π 1 π 0 π¬ 0 π 0
Yes. I definitely think thereβs transient associations with MHC only strong enough to signal. But I also have moved to think that T2 also has a good variety of peptides presented despite tap deficiency.
25.11.2025 14:42 β π 1 π 0 π¬ 1 π 0
Surprisingly high! I think out of 120 only some 2-3 didnβt express and 4-5 expressed but noticeably lower. For all fixed scaffold designs, we actually had absolute 100% expression rate.
25.11.2025 14:40 β π 1 π 0 π¬ 0 π 0
I think it would perform poorly. Maybe you can come up with metrics averaging over many many predictions and they would be a decent predictor of self-reactivity or not. However, itβs hard to exactly predict where the off-target would come from.
25.11.2025 01:32 β π 2 π 0 π¬ 1 π 0
I think in terms of sequence and structure they look very normal. But theyβre usually more active than native TCRs. I guess the fact that they havenβt undergone any thymic selectionβ¦
24.11.2025 22:50 β π 3 π 0 π¬ 2 π 0
On the epitope side itβs just the allele and the non anchor residues of the peptide. Maybe adding in 10 mers. But the models do terribly on 10 mers
24.11.2025 22:49 β π 2 π 0 π¬ 0 π 0
You could be right. I think someone should try to make sure. On the TCR side you have triple the design space at minimum even with fixed length. You could vary the alpha and beta and also sample different lengths for each CDR.
24.11.2025 22:49 β π 2 π 0 π¬ 1 π 0
that utilized de novo pairings of alpha and beta chains.
24.11.2025 22:05 β π 2 π 0 π¬ 1 π 0
The paired CDR3s are only an initial seed. Honestly you could use unpaired ones and crank the compute a bit more and you will still get convergence to binders that work. They undergo quite a lot of changes during the design process. We even had data that didn't make it into the paper for brevity
24.11.2025 22:05 β π 2 π 0 π¬ 1 π 0
Computational X-scan didn't work super well for improving the specificity of the design process. There's potential for deorphanization but the design problem is actually simpler than deorphanization since you're free to sample a huge space.
24.11.2025 22:03 β π 1 π 1 π¬ 1 π 0
Sorry for missing some details in the methods section. For A02:01, the antigen presenting cells were mostly T2 cells. For some data they might have been through HEK293T and for some K562-A02:01. For MAGE-A3, we used HEK293T-A01:01 cells because K562 is MAGE-A3+. For all others, they were K562 + MHC
24.11.2025 22:02 β π 3 π 0 π¬ 0 π 0
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...
28.11.2023 01:08 β π 11 π 8 π¬ 1 π 0
Late night experiment with @chrisfrank662.bsky.social :D
The backbone designability test. Start w/ backbone (diffusion, hallucination), put a sequence on it (proteinmpnn, esm-if), then the final test is to make sure it folds back to the original structure (alphafold, omegafold, esmfold) (1/3)
16.11.2023 13:12 β π 19 π 12 π¬ 2 π 1
Division of Vaccine and Infectious Disease, Fred Hutchinson Cancer Center
TCRs, influenza virus, anti-tumor immunity, books, dogs, Venice
Translational immunologist using principles of fundamental T cell biology and synthetic biology tools to design T cell therapies -- Assistant Professor @Fred Hutch
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We are a research group at University of Freiburg that studies the molecular mechanisms of T cell activation and how to use them for immunotherapy.
https://lillemeier.biologie.uni-freiburg.de/
MS Neurologist, T cell immunologist, UCSF Dept of Neurology, Weill Institute for Neurosciences.
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π¬π§ immunulogist in πΊπΈ | instructor @ MGH/HMS | TCRs and pMHC
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PhD Candidate @ the University of Washington's Institute for Protein Design | Baker Lab | Machine Learning for Protein Design | Enzymes
Structural biologist working on π₯οΈ protein design, machine learningπ€, crystallographyπ, and cryoEMπ¬. Avid weirdness connoisseur π©
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Baker Lab grad student @UW || antibodies
MD/PhD student in the Baker Lab at the Institute for Protein Design, University of Washington
Postdoctoral researcher at the Institute for Protein Design. My research focuses on computational methods for rational, de novo design of enzymes for new-to-nature reactions.
Baker & King labs @ UW IPD | alum @ Harvard | novel protein nanomaterials and machine learning
Research Assistant Professor, National Institute of Chemistry, Baker lab @ UW alumni, MSCA alumni. http://ljubetic-lab.si
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