Author

Sigrid Kaltenbrunner

Graz University of TechnologyORCID 0009-0002-1155-1425Unclaimed 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· 2 Assay:protein structure· 2 Research Focus:benchmarking· 1 Approach:diffusion model· 1 Research Focus:protein design· 1

Frequent Co-Authors

Gustav OberdorferiD· 2 shared Adrian TrippiD· 1 shared Aleksandar BijeliciD· 1 shared Andreas ZechneriD· 1 shared C. FischeriD· 1 shared David B. StolliD· 1 shared Federico RossiiD· 1 shared Florian WieseriD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBiochemistry

Gustav OberdorferORCID

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2 papers

Recent·Most cited

BiochemistryNaturePeer-reviewedDec 3, 2025

Computational enzyme design by catalytic motif scaffolding

Markus Braun, Adrian Tripp, Morakot Chakatok…·Gustav Oberdorfer

This paper introduces Riff-Diff, a machine learning and atomistic modeling method for designing enzymes with high catalytic activity and stereoselectivity, demonstrating its effectiveness for two chemical reactions.

80 citationstop 1%

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 7, 2025

Predicting Loop Quality in Protein Structure Models

Florian Wieser, Sigrid Kaltenbrunner, Andreas Zechner…·Gustav Oberdorfer

The paper introduces ELEN, a model for assessing protein loop quality in structure predictions, showing it can identify poor design positions in redesigned enzymes.

DOI 10.1101/2025.08.07.668890

protein structuredeep learning

𝕏 PostBluesky