Author

Matteo Aleotti

University of GrazORCID 0000-0002-6016-0175Unclaimed 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· 3 Research Focus:protein design· 3 Assay:protein structure· 3 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:statistical model· 1

Frequent Co-Authors

David B. StolliD· 3 shared Gustav OberdorferiD· 3 shared Mélanie HalliD· 3 shared Morakot ChakatokiD· 3 shared Wael ElailyiD· 3 shared Aleksandar BijeliciD· 2 shared Birgit GrilliD· 2 shared Horst LechneriD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersBiochemistry

David B. StollORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Probing the sequence variability tolerance in a de novo α-helical barrel biocatalyst

Wael Elaily, M. J. BRAUN, David B. Stoll, Morakot Chakatok, Matteo Aleotti, Birgit Grill, Aleksandar Bijelic, Mélanie Hall, Gustav Oberdorfer

This study modifies de novo α-helical barrel biocatalysts using deep learning and computational methods to improve solubility and catalytic performance while maintaining structural stability.

bioRxiv · Sep 29, 2026 · PreprintBiochemistry

Computational enzyme design by catalytic motif scaffolding

Markus Braun, Adrian Tripp, Morakot Chakatok, Sigrid Kaltenbrunner, C. Fischer, David B. Stoll, Aleksandar Bijelic, Wael Elaily, Massimo G. Totaro, Melanie Moser, Shlomo Yakir Hoch, Horst Lechner, Federico Rossi, Matteo Aleotti, Mélanie Hall, 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.

Nature · Dec 3, 2025Peer-reviewedBiochemistry

Computational design of a thermostable α-helical barrel protein with tunable active-site positioning

Wael Elaily, David B. Stoll, Morakot Chakatok, Matteo Aleotti, Birgit Grill, Horst Lechner, Mélanie Hall, Gustav Oberdorfer

The paper designs and characterizes a thermostable α-helical barrel protein with tunable active-site positioning, showing improved catalytic efficiency.

bioRxiv · Oct 7, 2024 · PreprintBiochemistry