Author

Lesley S. Sheehan

Isomerase Therapeutics (United Kingdom)

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Bioinformatics· 1

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

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Gavin Ayres· 1 shared Geraldene MunsamyiD· 1 shared Ioanna T. Nakou· 1 shared Noelia FerruziD· 1 shared Philipp LorenziD· 1 shared R. IllanesiD· 1 shared Sebastian LindneriD· 1 shared Silvia FruncilloiD· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Gavin Ayres

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1 paper

Recent·Most cited

Conditional language models enable the efficient design of proficient enzymes

Geraldene Munsamy, R. Illanes, Silvia Fruncillo, Ioanna T. Nakou, Sebastian Lindner, Gavin Ayres, Lesley S. Sheehan, Steven J. Moss, Ulrich Eckhard, Philipp Lorenz, Noelia Ferruz

An enzyme-specific conditional language model generates active carbonic anhydrases and lactate dehydrogenases to user specification, some under 40% identity to natural proteins, with no retraining.

bioRxiv · May 3, 2024 · PreprintBioinformatics