Author

Peter V. Treit

Max Planck Institute of BiochemistryORCID 0000-0002-5264-5877Unclaimed 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:human· 2 Assay:proteomics· 2 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Johannes B. Mueller-ReifiD· 2 shared Karsten Michael BorgwardtiD· 2 shared Matthias ManniD· 2 shared Adrian EgliiD· 1 shared Andreas WendeliD· 1 shared Ankit SinhaiD· 1 shared Axel G. HamprechtiD· 1 shared Christophe JunotiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Johannes B. Mueller-ReifORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

FastaLake selects compact metaproteomic databases from large sequence reservoirs by de novo peptide lookup

Peter V. Treit, Florian A. Rosenberger, Philip Hartout, Mikhail Lebedev, Jinqiu Xiao, Maximilian Zwiebel, Philipp Emanuel Geyer, Ankit Sinha, Georg Wallmann, Vincenth Brennsteiner, Kathrin Korff, Edwin H. Rodriguez, Wen‐Feng Zeng, Maximilian T. Strauss, Marisa Isabell Keller, , Matthias Mann

FastaLake constructs compact metaproteomic databases from sequence resources to improve peptide identification without requiring matched metagenomic sequencing.

bioRxiv · Oct 11, 2026 · PreprintBioinformatics

Machine learning-guided discovery of a conserved plasmid proteomic signature enables MALDI-TOF MS detection of pOXA-48-carrying Enterobacterales

Janko Sattler, Johannes B. Mueller-Reif, Dexiong Chen, Julian Sommer, Lucas Miranda, Juliette Murris, Till Hendrik Schulz, Yukino Guetlin, Janis Rogenmoser, Peter V. Treit, Thomas Pichl, Ela Sauerborn, Helena M. B. Seth-Smith, Tim Roloff, Stephan Goettig, , Karsten Michael Borgwardt

The paper develops a machine learning model to detect pOXA-48-carrying Enterobacterales using MALDI-TOF MS spectra, achieving high accuracy across different cohorts.

bioRxiv · Jul 13, 2026 · PreprintMicrobiology