Author

Wolfgang Kandioller

University of ViennaORCID 0000-0002-5630-712XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

David Maria HollensteiniD· 1 shared Fränze MülleriD· 1 shared Gerlinde GrabmanniD· 1 shared Karl MechtleriD· 1 shared Micha Johannes BirklbaueriD· 1 shared Paul GetreueriD· 1 shared Sowmya Sivakumar Geetha· 1 shared Verena JantschiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBiochemistry

David Maria HollensteinORCID

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1 paper

Recent·Most cited

BiochemistrybioRxivPreprintJun 19, 2026

A DIA-based quantitative crosslinking mass spectrometry framework for dynamic structural proteomics

Micha Johannes Birklbauer, Sowmya Sivakumar Geetha, Paul Getreuer…·Fränze Müller

This paper introduces DIA-QCLMS, a framework for quantitative crosslinking mass spectrometry that improves confidence assessment and integrates structural features, showing improved reproducibility in analyzing protein dynamics.

DOI 10.64898/2026.06.16.732730

proteomicsdeep learning

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