Author

Jonas Dietrich

Friedrich Schiller University JenaORCID 0000-0001-7913-2249Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Hans G.J. MoliD· 1 shared Joe WandyiD· 1 shared Justin J. J. van der HooftiD· 1 shared Laura Rosina Torres OrtegaiD· 1 shared Peter BellstedtiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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1 shared paperBiochemistry

Hans G.J. MolORCID

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2 papers

Recent·Most cited

Large-scale discovery and annotation of hidden substructure patterns in mass spectrometry profiles

Laura Rosina Torres Ortega, Jonas Dietrich, Joe Wandy, Hans G.J. Mol, Justin J. J. van der Hooft

The paper improves MS2LDA for substructure discovery in mass spectrometry by enhancing speed and introducing automated annotation guidance, validated on chemical datasets.

Nature Communications · Jul 6, 2026Peer-reviewedBiochemistry

HSQC2STRUC: A Machine Learning Model for Protein Secondary Structure Prediction using Unassigned NMR Spectra

Jonas Dietrich, Peter Bellstedt

This paper introduces a machine learning model that predicts protein secondary structure content from unassigned HSQC NMR spectra with low RMSE values.

bioRxiv · Oct 9, 2023 · PreprintBioinformatics