Author

Kolja Stahl

Technische Universität BerlinORCID 0000-0002-9990-7643Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:protein structure prediction· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

Juri RappsilberiD· 2 shared Björn Hormes· 1 shared Edward RullmanniD· 1 shared Eva AbsmeieriD· 1 shared Francis J. O’ReillyiD· 1 shared James A. W. Stowell· 1 shared Jörg StülkeiD· 1 shared Kendra NjoiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Juri RappsilberORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedSep 9, 2024

Modelling protein complexes with crosslinking mass spectrometry and deep learning

Kolja Stahl, Robert Warneke, Lorenz Demann…·Juri Rappsilber

The paper improves deep learning-based structure modelling of protein complexes by integrating crosslinking mass spectrometry data, enhancing performance on challenging targets.

94 citationstop 1%

protein structuredeep learning

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Molecular BiologybioRxivPreprintSep 2, 2024

Molecular insights into dynamic protein structures by high-contrast crosslinking mass spectrometry

Zhuo Angel Chen, Eva Absmeier, James A. W. Stowell…·Juri Rappsilber

This paper improves crosslinking mass spectrometry by using diazirine-based photo-crosslinking to better study dynamic protein regions and their conformational changes.

8 citations

proteomicsexperimental assay

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