Author

David Jordan

Department of Biochemistry, University of Cambridge, UK;

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Biochemistry· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Albert Owusu GattoriD· 1 shared Annette Gabriele Beck‐SickingeriD· 1 shared Corinna SchüßiD· 1 shared Fabian LießmanniD· 1 shared Hajk-Georg DrostiD· 1 shared Jan SticheliD· 1 shared Jens MeileriD· 1 shared Lukas Maischak· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBiochemistry

Albert Owusu GattorORCID

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2 papers

Recent·Most cited

Simulating the dynamics of gene regulatory systems at cellular scale

Lukas Maischak, David Jordan, Stefan Manolache, Hajk-Georg Drost

The paper introduces a simulator for accurately modeling gene regulatory dynamics across large-scale eukaryotic gene sets using a biophysical chemical master equation.

bioRxiv · Nov 3, 2026 · PreprintSystems Biology

Identification of key Y4R residues enables the discovery of selective non-peptide small-molecule agonists

Tim Pelczyk, Corinna Schüß, Mateusz Sklodowski, Fabian Ließmann, David Jordan, Vivian Ehrlich, Paul Eisenhuth, Jan Stichel, Albert Owusu Gattor, Max Keller, Jens Meiler, Annette Gabriele Beck‐Sickinger

This study identifies key Y4R residues and discovers selective non-peptide small-molecule agonists through molecular docking, residue replacement, and ultra-large library screening.

bioRxiv · May 1, 2026 · PreprintBiochemistry