Seva Viliuga

@proteinator.bsky.social

PhD candidate in bioinformatics Protein structure prediction / Protein design

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!

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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...

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Rasmus Hartmann-Petersen@rhp-lab.bsky.social · last yr.

With the @lindorfflarsen.bsky.social group we present our map of degrons in all human transcription factors, incl. examples of constitutive degrons in exposed regions & buried degrons that are exposed upon mutation. In addition, we show that most TADs overlap with degrons. Work led by Fia Larsen.

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.

While this paper looks interesting, let me just say (again) that (essentially all) NMR ensembles in the PDB are NOT thermodynamic ensembles or meant to represent these. They are "uncertainty ensembles" and using them to benchmark machine learning (or other) models of dynamics is not a good idea.

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bioRxivpreprint@biorxivpreprint.bsky.social · last yr.

Towards Unraveling Biomolecular Conformational Landscapes with a Generative Foundation Model https://www.biorxiv.org/content/10.1101/2025.05.01.651643v1