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Amelie Schreiber
AmelieSchreiber
AI & ML interests
Diffusion and flow matching models for proteins, small molecules, DNA, and RNA, protein language models, machine translation, equivariant attention mechanisms, LoRA, and QLoRA.
Recent Activity
liked
a model
18 days ago
microsoft/NatureLM-8x7B-Inst
updated
a model
21 days ago
AmelieSchreiber/LucaOne
published
a model
21 days ago
AmelieSchreiber/LucaOne
Organizations
replied to
their
post
9 months ago
replied to
their
post
9 months ago
Aww thank you!
posted
an
update
about 1 year ago
Post
4973
A list of my favorite articles I've written on Hugging Face (the others are kind of mid imo):
https://huggingface.co/blog/AmelieSchreiber/a-new-era-of-enzyme-engineering
https://huggingface.co/blog/AmelieSchreiber/protein-optimization-and-design
https://huggingface.co/blog/AmelieSchreiber/rfdiffusion-potentials
https://huggingface.co/blog/AmelieSchreiber/mutation-scoring
https://huggingface.co/blog/AmelieSchreiber/esmbind
https://huggingface.co/blog/AmelieSchreiber/esm2-ptm
https://huggingface.co/blog/AmelieSchreiber/directed-evolution-with-esm2
https://huggingface.co/blog/AmelieSchreiber/intrinsic-dimension-of-proteins
https://huggingface.co/blog/AmelieSchreiber/plm-persistent-homology-msa-replacement
https://huggingface.co/blog/AmelieSchreiber/faster-pha
https://huggingface.co/blog/AmelieSchreiber/a-new-era-of-enzyme-engineering
https://huggingface.co/blog/AmelieSchreiber/protein-optimization-and-design
https://huggingface.co/blog/AmelieSchreiber/rfdiffusion-potentials
https://huggingface.co/blog/AmelieSchreiber/mutation-scoring
https://huggingface.co/blog/AmelieSchreiber/esmbind
https://huggingface.co/blog/AmelieSchreiber/esm2-ptm
https://huggingface.co/blog/AmelieSchreiber/directed-evolution-with-esm2
https://huggingface.co/blog/AmelieSchreiber/intrinsic-dimension-of-proteins
https://huggingface.co/blog/AmelieSchreiber/plm-persistent-homology-msa-replacement
https://huggingface.co/blog/AmelieSchreiber/faster-pha
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- 4 replies
replied to
their
post
over 1 year ago
It was unexpected. I believe finetuning may be in order and EvoDiff is not really intended to generate binders out-of-the-box anyway. Still though, the changes in tertiary structure for the generated protein are puzzling and interesting. How does an alpha-helix with an some higher pLDDT scores (middle picture of the unbound generated binder) turn into beta-sheets with low pLDDT scores in the presence of the target protein (picture on the right)? I find that strange and interesting. Is this a more extreme example of sampling multiple conformations of proteins that are fold-switching? (see https://www.biorxiv.org/content/10.1101/2023.12.16.571997v1)
posted
an
update
over 1 year ago
Post
Currently attempting to hack EvoDiff to generate binders for target proteins with some interesting results. The generated binders tend to change conformation, sometimes drastically, when bound to the target proteins compared to their unbound states. Below is the target protein with an IDR linker, the generated binder, and the binder bound to the target protein with the IDR linker structure as predicted by ESMFold. Notice how the binder goes from being a solid alpha-helix, to being beta-sheets (in orange). That's quite a change in tertiary structure!
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- 3 replies