Author

Michal Lihan

University of Cambridge

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Synthetic Biology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Florian HollfelderiD· 1 shared Hanna Moscho· 1 shared Hannes Bormke· 1 shared Matthew PenneriD· 1 shared Paul DupreeiD· 1 shared Peter Nix· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperSynthetic Biology

Florian HollfelderORCID

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1 paper

Recent·Most cited

Unsupervised protein language models learn patterns of enzyme function

Matthew Penner, Michal Lihan, Hannes Bormke, Peter Nix, Hanna Moscho, Paul Dupree, Florian Hollfelder

This paper introduces a framework using protein language models to discover novel enzymes with specific functions by clustering sequence embeddings and recursively exploring functional reservoirs.

bioRxiv · Apr 23, 2026 · PreprintSynthetic Biology