Author

Yvan Rousset

Heinrich Heine University DüsseldorfORCID 0000-0002-9118-7178Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:protein sequence· 2 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander KrolliD· 2 shared Martin J. LercheriD· 2 shared Nina A. LiebrandiD· 1 shared Xiao-Pan HuiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Alexander KrollORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 21, 2026

Overcoming systematic data biases enables accurate prediction of enzyme kcat fold-changes for computational protein design

Yvan Rousset, Alexander Kroll, Martin J. Lercher

The paper shows that high accuracy in predicting enzyme kcat fold-changes from sequence data often results from data biases, not true mechanistic understanding, and introduces a bias-aware framework to improve predictions.

DOI 10.64898/2026.01.23.701068

protein sequencestatistical model

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedJul 12, 2023

Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning

Alexander Kroll, Yvan Rousset, Xiao-Pan Hu…·Martin J. Lercher

This paper introduces TurNuP, a model predicting enzyme turnover numbers for natural reactions, outperforming existing methods and generalizing across enzyme similarity.

187 citationstop 1%

protein sequencemachine learning (classical)

𝕏 PostBluesky