Author

Marion Schuller

Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany;ORCID 0000-0002-1551-0359Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1

Frequent Co-Authors

Ivan AheliD· 2 shared Alpha A. LeeiD· 1 shared Andreja Mikoc· 1 shared Anna-Lena Gotzler· 1 shared Barbara SteigenbergeriD· 1 shared Christoph TangiD· 1 shared G.J. CorreyiD· 1 shared Haim Michael BarriD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMicrobiology

Ivan AhelORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

DarHTG is a tripartite phage defence system for purine DNA base ADP-ribosylation

Raphael Ledermann, Anna-Lena Gotzler, Barbara Steigenberger, Yijun Wang, Johanna Zimmermann, Selina Geiger, Jieying Fu, Johannes Hoffmann, Osamu Suyari, YuGeng Zhang, Yang Lu, Andreja Mikoc, Christoph Tang, Ivan Ahel, Marion Schuller

The paper describes DarHTG, a bacterial phage defense system that ADP-ribosylates double-stranded DNA using a helicase co-toxin, and identifies two subclasses with distinct target bases.

bioRxiv · Nov 3, 2026 · PreprintMicrobiology

Fragment-Based Hit Discovery via Unsupervised Learning of Fragment-Protein Complexes

William McCorkindale, Ivan Ahel, Haim Michael Barr, G.J. Correy, James S. Fraser, Nir London, Marion Schuller, Khriesto A. Shurrush, Alpha A. Lee

This paper uses unsupervised machine learning to identify active fragments from crystallographic data, distinguishing them from inactive ones without activity data.

bioRxiv · Nov 21, 2022 · PreprintBioinformatics