Author

María José Rimón Martínez

University of ViennaORCID 0009-0002-4540-3770Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Organism:yeast· 1

Frequent Co-Authors

Alexandre Theodore Charles BouilloniD· 1 shared Johann LottermoseriD· 1 shared Jürgen ZanghelliniiD· 1 shared Leopold ZehetneriD· 1 shared Wim VrankeniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Alexandre Theodore Charles BouillonORCID

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1 paper

Recent·Most cited

Beyond benchmark accuracy: machine-learning turnover-number predictors require system-level validation

María José Rimón Martínez, Johann Lottermoser, Alexandre Theodore Charles Bouillon, Wim Vranken, Leopold Zehetner, Jürgen Zanghellini

The paper evaluates machine learning predictors of enzyme turnover numbers (kcat) by testing their impact on downstream metabolic models, finding that accuracy varies significantly and that validation must consider system-level effects.

bioRxiv · Sep 3, 2026 · PreprintBioinformatics