Author

Jan-Philipp Leusch

Helmholtz MunichORCID 0009-0005-7635-1864Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Organism:multiple species· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Burkhard RostiD· 1 shared Franco L. SimonettiiD· 1 shared Julius SchlensokiD· 1 shared Michael HeinzingeriD· 1 shared Miguel Fernandez-MartiniD· 1 shared Miriam Poley-GiliD· 1 shared Nicola BordiniD· 1 shared R. Gonzalo ParraiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Burkhard RostORCID

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1 paper

Recent·Most cited

FrustrAI-Seq: Scaling Local Energetic Frustration to the Protein Sequence Space

Jan-Philipp Leusch, Miriam Poley-Gil, Miguel Fernandez-Martin, Franco L. Simonetti, Julius Schlensok, Nicola Bordin, Burkhard Rost, R. Gonzalo Parra, Michael Heinzinger

A fine-tuned ProtT5 protein language model predicts per-residue energetic frustration from sequence (Pearson r 0.86 on unseen CATH topologies) and profiles the human proteome in ~17 minutes on one GPU.

bioRxiv · Aug 12, 2026 · PreprintBioinformatics✦ In-depth digest