Author

Christian Degnbol Madsen

The University of MelbourneORCID 0000-0001-8218-7160Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Organism:yeast· 1

Frequent Co-Authors

Agnese BarbensiiD· 1 shared Alessia DavidiD· 1 shared Christopher Thomas WorkmaniD· 1 shared Douglas E. V. PiresiD· 1 shared Jotun HeiniD· 1 shared Lucy HamiD· 1 shared Michael P. H. StumpfiD· 1 shared Stephen Y. Zhang· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Agnese BarbensiORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedAug 13, 2025

The Topological Properties of the Protein Universe

Christian Degnbol Madsen, Agnese Barbensi, Stephen Y. Zhang…·Michael P. H. Stumpf

The paper uses topology to analyze the protein universe, identifying structural and functional features and their implications for mutations and evolution.

7 citations

protein structuredeep learning

𝕏 PostBluesky

Systems BiologybioRxivPreprintSep 3, 2021

Systematic inference of regulation by protein kinases finds surprising level of transcription factor deactivation

Christian Degnbol Madsen, Jotun Hein, Christopher Thomas Workman

The paper develops PhosTF to infer kinase/phosphatase regulation of transcription factors in yeast, finding that over 70% of interactions involve deactivation.

DOI 10.1101/2021.09.03.458813

yeastbulk RNA-seq

𝕏 PostBluesky