Author

Valentina Dabene

ETH Zurich

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

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Andreas Meyer· 1 shared Jan Maarten van DijliD· 1 shared Margriet M. W. B. HendriksiD· 1 shared Martin HeldiD· 1 shared Priscilla ZwartjensiD· 1 shared René Pellaux· 1 shared Stefano GrassoiD· 1 shared Sven PankeiD· 1 shared

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1 shared paperSynthetic Biology

Andreas Meyer

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1 paper

Recent·Most cited

Synthetic BiologyACS Synthetic BiologyPeer-reviewedJan 17, 2023

Signal peptide efficiency: from high-throughput data to prediction and explanation

Stefano Grasso, Valentina Dabene, Margriet M. W. B. Hendriks…·Tjeerd van Rij

The paper evaluates 12,000 signal peptides using a high-throughput assay, trains a machine learning model to predict secretion efficiency, and explains the model's features.

57 citationstop 3%

protein sequencemachine learning (classical)