Author

Okke Melse

Technical University of MunichORCID 0000-0002-0021-3466Unclaimed 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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Approach:experimental assay· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Broder RühmanniD· 1 shared Iris AntesiD· 1 shared Laura Kampl· 1 shared Manuel DöringiD· 1 shared Martin ZachariasiD· 1 shared Tenuun BayaraaiD· 1 shared Ville R. I. KailaiD· 1 shared Volker SieberiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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1 shared paperMicrobiology

Broder RühmannORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintJun 23, 2026

Unraveling Xanthomonas acetyltransferase GumG: decoding catalytic promiscuity, understanding the mechanism, and enhancing enzymatic versatility

Yajing Liu, Broder Rühmann, Okke Melse…·Volker Sieber

This study characterizes GumG, an acetyltransferase involved in xanthan modification, revealing its substrate promiscuity and catalytic mechanism to enable engineered xanthan derivatives.

DOI 10.64898/2026.06.22.733816

bacteria (other)proteomics

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BioinformaticsJournal of Computational ChemistryPeer-reviewedDec 9, 2022

Assessment of Molecular Mechanics-based Zn2+ Models in Mono- and Bimetallic Ligand Binding Sites

Okke Melse, Iris Antes, Ville R. I. Kaila, Martin Zacharias

The paper evaluates Zn2+ models in metalloproteins, finding that nonbonded models struggle while dummy-atom models perform best for octahedral coordination.

21 citations

protein structurestatistical model

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