Author

Christian Fufezan

Heidelberg UniversityORCID 0000-0002-7048-6822Unclaimed ORCID profile · follow to get notified of new preprints

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Christian Fufezan2 papers

Biology Disciplines

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Bioinformatics· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Organism:human· 2 Research Focus:software / tool· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:E. coli· 1 Approach:experimental assay· 1

Frequent Co-Authors

Stefan SchulzeiD· 2 shared Tristan RanffiD· 2 shared Anne OltmannsiD· 1 shared Claudine KraftiD· 1 shared Cristián Eggers· 1 shared Fabienne Mollet· 1 shared Hannes C. A. DrexleriD· 1 shared Hans Robert SchöleriD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Stefan SchulzeORCID

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3 papers

Recent·Most cited

tRNA modifications tune decoding of codon pairs to prevent cellular quality control responses

Jie Wu, Cristián Eggers, Olga Sin, L. Koziej, Héctor Mancilla, Fabienne Mollet, Hans Robert Schöler, Hannes C. A. Drexler, Tristan Ranff, Christian Fufezan, Claudine Kraft, Sebastian Glatt, Jan M. Bruder, Sebastian A. Leidel

This study shows that tRNA modifications affect codon pair decoding, leading to ribosome stalling and triggering quality control responses to prevent protein aggregation.

Nucleic Acids Research · Nov 5, 2025Peer-reviewedBiochemistry

PeptideForest: Semisupervised machine learning integrating multiple search engines for peptide identification

Tristan Ranff, Matthew Dennison, Jeroen Bédorf, Stefan Schulze, Nico Zinn, Marcus Bantscheff, J. J. R. M. van Heugten, Christian Fufezan

PeptideForest improves peptide identification by integrating multiple search engines and increases PSMs with q-value <1% without compromising quantification quality.

Journal of Proteome Research · Jan 22, 2025Peer-reviewedBioinformatics

SugarPy facilitates the universal, discovery-driven analysis of intact glycopeptides

Stefan Schulze, Anne Oltmanns, Christian Fufezan, Julia Kraegenbring, Michael Mormann, Mechthild Pohlschröder, Michael Hippler

SugarPy enables glycoproteome analysis without glycan databases, validated on human breast milk and other organisms with uncommon glycans.

Bioinformatics · Dec 1, 2020Peer-reviewedBioinformatics