Author

Silvia Fruncillo

Johnson Matthey (United Kingdom)ORCID 0000-0003-4953-8349Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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 Lesley S. Sheehan· 1 shared Noelia FerruziD· 1 shared Philipp LorenziD· 1 shared R. IllanesiD· 1 shared Sebastian LindneriD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Gavin Ayres

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 3, 2024

Conditional language models enable the efficient design of proficient enzymes

Geraldene Munsamy, R. Illanes, Silvia Fruncillo…·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.

47 citations

protein sequencedeep learning

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