Author

Carolin C. M. Schulte

University of OxfordORCID 0000-0002-7574-6259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:bacteria (other)· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Antonis PapachristodoulouiD· 3 shared Emmanouil AlexisiD· 2 shared Luca CardelliiD· 2 shared Philip Simon PooleiD· 1 shared Vinoy K. RamachandraniD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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3 shared papersSynthetic Biology

Antonis PapachristodoulouORCID

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3 papers

Recent·Most cited

Regulation strategies for two-output biomolecular networks

Emmanouil Alexis, Carolin C. M. Schulte, Luca Cardelli, Antonis Papachristodoulou

This paper develops control strategies for two-output biomolecular networks to achieve robust regulation despite coupling interactions and disturbances.

Journal of The Royal Society Interface · Aug 1, 2023Peer-reviewedSynthetic Biology

Genome-scale metabolic modelling of lifestyle changes in Rhizobium leguminosarum

Carolin C. M. Schulte, Vinoy K. Ramachandran, Antonis Papachristodoulou, Philip Simon Poole

The paper reconstructs and validates a genome-scale metabolic model for Rhizobium leguminosarum, integrating it with multi-omics data to predict metabolic fluxes across different symbiotic stages.

mSystems · Jan 11, 2022Peer-reviewedSystems Biology

Biomolecular mechanisms for signal differentiation

Emmanouil Alexis, Carolin C. M. Schulte, Luca Cardelli, Antonis Papachristodoulou

This paper identifies biomolecular mechanisms for time derivative computation in cells and proposes synthetic differentiator designs based on natural regulatory networks.

iScience · Nov 17, 2021Peer-reviewedSynthetic Biology