Author

Catherine Ruth Jutzeler

ETH ZurichORCID 0000-0001-7167-8271Unclaimed 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:benchmarking· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Adrian EgliiD· 1 shared Alejandro Cisterna‐GarcíaiD· 1 shared Alvaro Maximo Gonzalez LopeziD· 1 shared Álvaro Sánchez‐FerreriD· 1 shared Aspasia VoziiD· 1 shared Darren M. SvirskisiD· 1 shared Frank BradkeiD· 1 shared Jarred M. GriffiniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Adrian EgliORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedOct 28, 2026

Antimicrobial peptide databases and prediction tools: Toward a standard evaluation framework

Alejandro Cisterna‐García, Alvaro Maximo Gonzalez Lopez, Aspasia Vozi…·Juan Antonio Botía

The paper evaluates antimicrobial peptide prediction tools and proposes a standardized evaluation framework to improve comparability and reproducibility.

DOI 10.1021/acs.jcim.6c02141

protein sequencemachine learning (classical)

𝕏 PostBluesky

NeurosciencebioRxivPreprintOct 8, 2026

Voluntary engagement predicts recovery across rehabilitation time points after experimental spinal cord injury

Jarred M. Griffin, Panagiotis Papaioannou, Rohan Menon…·Frank Bradke

This study identifies factors influencing rehabilitation effectiveness after spinal cord injury, finding that voluntary engagement promotes recovery while forced training may reduce benefits.

DOI 10.64898/2026.09.28.751615

mousestatistical model

𝕏 PostBluesky