Author

Kateřina Hrůzová

Masaryk UniversityORCID 0000-0002-1132-8947Unclaimed 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· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Alexander KensertiD· 1 shared Alireza NameniiD· 1 shared Arthur DeclercqiD· 1 shared Jiřı́ UrbaniD· 1 shared Lennart MartensiD· 1 shared Ralf GabrielsiD· 1 shared Robbe DevreeseiD· 1 shared Robbin BouwmeesteriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Alexander KensertORCID

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1 paper

Recent·Most cited

Predicting and Elucidating Peptide Retention Mechanisms with Graph Attention Networks

Alexander Kensert, Kateřina Hrůzová, Robbe Devreese, Alireza Nameni, Arthur Declercq, Ralf Gabriels, Lennart Martens, Robbin Bouwmeester, Jiřı́ Urban

The paper introduces a deep learning model to predict peptide retention times in liquid chromatography and identifies key factors influencing retention through saliency mapping.

bioRxiv · May 20, 2026 · PreprintBioinformatics