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Lorenzo Pantolini

@lorenzopantolini.bsky.social
67 followers 40 following 10 posts

Postdoc at Biozentrum, University of Basel. Applying AI to structural biology, specializing in pLMs and remote homology detection.

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Reposted by Lorenzo Pantolini
Janani Durairaj (Jay) @ninjani.bsky.social · 16/09/2026
The PhD and Postdoc application links are now live! Come join me at UNIL to work on deep learning for protein structure, interactions & design. pickybinders.org#open-positions
career5.successfactors.eu
Career Opportunities: PhD student position in deep learning for enzyme structure & catalysis (22980)
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Janani Durairaj (Jay) @ninjani.bsky.social · 28/08/2026
Some exciting news: I'm joining the University of Lausanne @unil.bsky.social @dbc-unil.bsky.social as an Assistant Professor next month 🎉 My group will work on context-aware deep learning for protein structure, interaction & design. Postdoc and PhD openings coming soon - keep an eye out!
compare, predict, design
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Pedro Beltrao @pedrobeltrao.bsky.social · 14/07/2026
Team science preprint, exploring the capabilities and limitations of Alphafold3 across different application areas, including protein-RNA, protein-lipid, ubiquitination,TCR and antibody recognition with @ninjani.bsky.social @labvanni.bsky.social @dgfeller.bsky.social www.biorxiv.org/content/10.6...
biorxiv.org
Capabilities, specificity gaps and training-data dependence of AlphaFold3 across diverse application areas
Structure prediction models have moved from single proteins to assemblies that include diverse biomolecules and their modifications. AlphaFold3 (AF3) and related models extended structural modelling v...
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Reposted by Lorenzo Pantolini
Janani Durairaj (Jay) @ninjani.bsky.social · 08/06/2026
Search with TEA 🍵 Against Many! → On the web: pickybinders.org/tea/steam → Locally: github.com/PickyBinders... Feedback welcome!
pickybinders.org
STEAM - Search with TEA against Many
Generated by create next app
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Janani Durairaj (Jay) @ninjani.bsky.social · 11/05/2026
It's finally out!
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Peter Škrinjar @peterskrinjar.bsky.social · 11/05/2026
Now published in NSMB! Paper: doi.org/10.1038/s415... Full PDF: rdcu.be/fhBtI Overview of additions since the preprint👇 (1/5)
doi.org
Evaluating generalization in protein–ligand cofolding methods - Nature Structural & Molecular Biology
This work introduces the Runs N’ Poses dataset for benchmarking deep learning methods on the protein–ligand complex prediction task. It shows that current methods rely on memorization, challenging the...
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Reposted by Lorenzo Pantolini
Janani Durairaj (Jay) @ninjani.bsky.social · 13/04/2026
@lorenzopantolini.bsky.social and I are headed to @iclr-conf.bsky.social at Rio soon, with talks about this work at @gembioworkshop.bsky.social and LMRL workshops. Reach out to chat about representation learning for de novo protein design! 🫖
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Daniil Litvinov @daniil-litvinov.bsky.social · 19/03/2026
I'm excited to share *Stoic*, a method for fast and accurate protein complex stoichiometry prediction directly from sequence. Preprint: www.biorxiv.org/content/10.6... 🧵👇(1/10)
biorxiv.org
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Ricardo D. Righetto @lifeonthewedge.bsky.social · 19/03/2026
Meet Stoic from @daniil-litvinov.bsky.social and @ninjani.bsky.social: embeddings to predict stoichiometry of protein complexes from sequence fast and accurately 🧬🧩💻🤩 www.biorxiv.org/content/10.6...
Stoic:  Fast and accurate protein stoichiometry prediction (preprint header with authors and affiliations)
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Torsten Schwede @torstenschwede.bsky.social · 13/03/2026
Is #AI hitting a plateau in structure prediction? Help us find out at CASP17! 🧪🧬 Calling for Targets: Immune Complexes, protein - ligand complexes, RNA/DNA, conformational ensembles, membrane proteins, viral origins, and large complexes. The Rule of Thumb: If AF3 can’t model it, we want it.
The Critical Assessment of Structure Prediction (CASP) experiment is calling for prediction targets: Immune Complexes, Organic Ligand-Protein Complexes, Nucleic Acids and Complexes, Conformational Ensembles, Difficult Protein Structures and Complexes. 
Rule of Thumb: If AlphaFold3 can generate a high-quality model, it is likely not a CASP-grade challenge. If it struggles, we want it.
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Lorenzo Pantolini @lorenzopantolini.bsky.social · 11/02/2026
Remote homology and protein design: two sides of the same coin. Instead of finding remote homologs, we used TEA to design completely de novo proteins, folding into desired TEA sequences. I always love working with Jay, and “speed-running” this proof of concept was no exception.
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CAMEO-3D @cameo3d.org · 23/12/2025
🚀 New paper in @natmethods.nature.com! We present OpenStructure's powerful scoring capabilities, used to assess predictionsin CAMEO and CASP. Read the full study here: 🔗 doi.org/10.1038/s415... #StructuralBiology #Bioinformatics #OpenStructure #CASP #CAMEO #ProteinStructure
doi.org
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Lorenzo Pantolini @lorenzopantolini.bsky.social · 01/12/2025
Fresh from bioRxiv our latest work introducing The Embedded Alphabet (TEA), a powerful new representation for protein sequences obtained by discretising ESM2 embeddings into 20 characters. Pre-print: www.biorxiv.org/content/10.1... 🧵👇(1/n)
biorxiv.org
Rewriting protein alphabets with language models
Detecting remote homology with speed and sensitivity is crucial for tasks like function annotation and structure prediction. We introduce a novel approach using contrastive learning to convert protein...
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Torsten Schwede @torstenschwede.bsky.social · 08/12/2023
It is a great privilege and honor to be elected as new President of the SNSF Research Council. I’m very much looking forward to serving the Swiss scientific community in this new role in the coming years. snf.ch/en/xgVKfkp88...
snf.ch
Torsten Schwede appointed as new President of the SNSF Research Council from 2025
Swiss National Science Foundation (SNSF)
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