Seva Viliuga
@proteinator.bsky.social
59 followers 96 following 40 posts
PhD candidate in bioinformatics Protein structure prediction / Protein design
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proteinator.bsky.social
1/6 One of the key features of functional proteins is their inherent structural flexibility. In our recent work at #ICML, we introduce flexibility to protein structure design! More in a thread below.

Code / Tutorial: github.com/graeter-grou...
Poster: W-109, Thu 17 Jul 11 a.m. PDT — 1:30 p.m. PDT
Reposted by Seva Viliuga
workshopmlsb.bsky.social
You asked and we listened... @workshopmlsb.bsky.social is excited to be expanding to Copenhagen, DK at @euripsconf.bsky.social 🎉

Two workshops (San Diego & Copenhagen) will run concurrently to support broader attendance. You can indicate your location preference(s) in the submission portal💫
proteinator.bsky.social
Good luck and enjoy, Seb!
Reposted by Seva Viliuga
smnlssn.bsky.social
Hope you all had a good summer. I'm very happy to announce the speaker line-up for the falls Chalmers AI4Science seminars! Hope to catch you all there!
Reposted by Seva Viliuga
lindorfflarsen.bsky.social
If you’re interested in learning more about protein folding and misfolding, I’ve created a convenient reading list with a few essential papers:

scholar.google.com/citations?us...

scholar.google.com/citations?us...
proteinator.bsky.social
6/6 Amazing team work with great co-authors
@leif-seute.bsky.social, Nicolas Wolf, Simon Wagner, @bioinfo.se, Jan Stühmer and @graeterlab.bsky.social

Try out FliPS and BackFlip yourself, code and Google Colab tutorials are available on GitHub!
proteinator.bsky.social
5/6 We introduce a framework in which we generate candidate protein structures conditioned on flexibility with FliPS and use BackFlip to select the candidates whose predicted flexibility profile best matches the target before running expensive MD simulations.
proteinator.bsky.social
4/6 We also introduce BackFlip - an equivariant network that can accurately predict backbone flexibility as derived from MD simulations. Crucially, BackFlip infers flexibility solely from the backbone geometry without requiring evolutionary information, making it useful for de novo protein design.
proteinator.bsky.social
3/6 In a series of experiments, we demonstrate that FliPS samples novel, realistic proteins with diverse secondary structure composition and a remarkable resemblance to custom target flexibility profiles, as verified in 300ns Molecular Dynamics (MD) simulations of the designed samples.
proteinator.bsky.social
2/6 Our model FliPS is a conditional flow matching model for protein structure generation. FliPS receives a flexibility profile as conditional input feature and learns how to generate realistic protein structures while respecting target flexibilities.
proteinator.bsky.social
1/6 One of the key features of functional proteins is their inherent structural flexibility. In our recent work at #ICML, we introduce flexibility to protein structure design! More in a thread below.

Code / Tutorial: github.com/graeter-grou...
Poster: W-109, Thu 17 Jul 11 a.m. PDT — 1:30 p.m. PDT
proteinator.bsky.social
First time transatlantic and such a view over Greenland 🤯 Wish there were more glaciers :/
proteinator.bsky.social
Hahaha this is hilarious!! I’m now totally convinced I should play with it as well 🤣
Reposted by Seva Viliuga
alignbio.bsky.social
1/4
🚀 Announcing the 2025 Protein Engineering Tournament.

This year’s challenge: design PETase enzymes, which degrade the type of plastic in bottles. Can AI-guided protein design help solve the climate crisis? Let’s find out! ⬇️

#AIforBiology #ClimateTech #ProteinEngineering #OpenScience
Reposted by Seva Viliuga
smnlssn.bsky.social
New pre-print from PhD student Hang Zou on warm-starting the variational quantum eigensolver using flows: Flow-VQE! Flow-VQE is parameter transfer on steroids: it learns how to solve a family of related problems, dramatically reducing the aggregate compute cost!
proteinator.bsky.social
"...we investigated the performance of ... inverse folding models when trained on different structural datasets and on held-out set of experimentally determined PDB structures."

It would be interesting if they did it vice versa and ran inference on some FoldSeek or dark clusters of AFDB...
Reposted by Seva Viliuga
matthewcobb.bsky.social
Just learned that Frank Stahl (of the Meselson and Stahl DNA replication experiment ("the most beautiful experiment in biology") died at the beginning of April, to no fanfare. Here's a lovely video of them reminiscing: www.youtube.com/watch?v=7-tn...
The Most Beautiful Experiment: Meselson and Stahl
YouTube video by Science Communication Lab
www.youtube.com
Reposted by Seva Viliuga
rociomer.bsky.social
You can now check out a recording of Julija's excellent talk on the Chalmers AI4Science YouTube channel: www.youtube.com/watch?v=y_7a...
Reposted by Seva Viliuga
maxxxzdn.bsky.social
🤹 New blog post!

I write about our recent work on using hierarchical trees to enable sparse attention over irregular data (point clouds, meshes) - Erwin Transformer, accepted to ICML 2025

blog: maxxxzdn.github.io/blog/erwin/
paper: arxiv.org/abs/2502.17019

Compressed version in the thread below:
proteinator.bsky.social
Attending conferences in Italy seems to be a great idea 🥸
proteinator.bsky.social
I finally won a lottery and got the CA visa?! Something must be wrong.. Guess that means me + ICML 2025! 😀
Reposted by Seva Viliuga
lindorfflarsen.bsky.social
Led by Fia Larsen in @rhp-lab.bsky.social, we mapped degrons in all ~1600 human transcription factors

We find overlap between degrons and TADs, and show how negatively charged residues contribute to function by helping prevent degradation

See preprint for much more:
doi.org/10.1101/2025...
Reposted by Seva Viliuga
benjmurrell.bsky.social
My lab, at Karolinska, in Stockholm, is looking for a PhD student with a computational/quantitative background to work on probabilistic/generative models of proteins (structure and sequence). The research will involve methods development, and applications in vaccine design.