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Amir Motmaen

@amotmaen.bsky.social

Applications of AI for intelligent design of SynBio systems. MTS at Latent Labs. PhD at Baker Lab @UWproteindesign. MSc ETH Zurich and Frances Arnold. πŸ§‘πŸ»β€πŸ”¬πŸ”¬πŸ³οΈβ€πŸŒˆ

150 Followers  |  27 Following  |  13 Posts  |  Joined: 11.09.2023  |  1.5949

Latest posts by amotmaen.bsky.social on Bluesky

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€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 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€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 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 wouldn’t score poorly and still be non specific.

25.11.2025 14:45 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Yes. I definitely think there’s 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€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Surprisingly high! I think out of 120 only some 2-3 didn’t 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€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 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, it’s hard to exactly predict where the off-target would come from.

25.11.2025 01:32 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

I think in terms of sequence and structure they look very normal. But they’re usually more active than native TCRs. I guess the fact that they haven’t undergone any thymic selection…

24.11.2025 22:50 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 2    πŸ“Œ 0

On the epitope side it’s 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€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 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€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Preview
Targeting peptide-MHC complexes with designed T cell receptors and antibodies Class I major histocompatibility complexes (MHCs), expressed on the surface of all nucleated cells, present peptides derived from intracellular proteins for surveillance by T cells. The precise recogn...

Hey @jamieheather.bsky.social what do you think of this?

www.biorxiv.org/content/10.1...

21.11.2025 02:29 β€” πŸ‘ 7    πŸ” 4    πŸ’¬ 1    πŸ“Œ 0

that utilized de novo pairings of alpha and beta chains.

24.11.2025 22:05 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 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€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 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€” πŸ‘ 1    πŸ” 1    πŸ’¬ 1    πŸ“Œ 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€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Preview
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...

(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)

[https://www.biorxiv.org/content/10.1101/2025.08.14.670328v2](www.biorxiv.org/content/10.1...)

15.08.2025 17:16 β€” πŸ‘ 66    πŸ” 28    πŸ’¬ 2    πŸ“Œ 2

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€” πŸ‘ 11    πŸ” 8    πŸ’¬ 1    πŸ“Œ 0
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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€” πŸ‘ 19    πŸ” 12    πŸ’¬ 2    πŸ“Œ 1

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