Author

Paul London

Heinrich Heine University Düsseldorf

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

Biology Disciplines

Click to filter author papers

Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alexa Grebel· 1 shared Anja StefanskiiD· 1 shared Ilka Maria IM AxmanniD· 1 shared Karen MethlingiD· 1 shared Katharina NöhiD· 1 shared Klaus SchaperiD· 1 shared Martin BeyßiD· 1 shared Michael LalkiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperSystems Biology

Alexa Grebel

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Multi-omic data fusion reveals the in vivo enzyme kinetics of Vibrio natriegens at the genome-scale

St. Elmo Wilken, Martin Beyß, Miroslav Kratochvíl, Alexa Grebel, Karen Methling, Anja Stefanski, Paul London, Michael Lalk, Klaus Schaper, Ilka Maria IM Axmann, Katharina Nöh, Philipp Westhoff, Oliver Ebenhöh

This study measures in vivo enzyme turnover numbers in Vibrio natriegens using multi-omic data fusion, revealing enzymes are 14-fold faster than E. coli and showing machine learning underestimates these kinetics.

bioRxiv · Jun 4, 2026 · PreprintSystems Biology