Author

Tjeerd van Rij

DSM (Netherlands)ORCID 0000-0002-0301-2598Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Andreas Meyer· 1 shared Colin R. HarwoodiD· 1 shared Henrik StrahliD· 1 shared Jan Maarten van DijliD· 1 shared Madeleine HumphreyiD· 1 shared Margriet M. W. B. HendriksiD· 1 shared Maria Dakes Stavrakakis· 1 shared Martin HeldiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSynthetic Biology

Andreas Meyer

Mutual co-authors in cluster

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2 papers

Recent·Most cited

MicrobiologyMicrobial Cell FactoriesPeer-reviewedAug 12, 2026

Monitoring single cell bioenergetic status and cell lysis in dense and differentiating Bacillus subtilis cultures

Maria Dakes Stavrakakis, Taylor Wellfare Reid, Madeleine Humphrey…·Henrik Strahl

This study develops assays to monitor single-cell bioenergetic status and cell lysis in Bacillus subtilis cultures during differentiation and growth.

1 citation

bacteria (other)experimental assay

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)