Author

Valentin Gonay

Centre National de la Recherche ScientifiqueORCID 0009-0001-6570-9593Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

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Approach:machine learning (classical)· 2 Assay:protein sequence· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andrey V. KajavaiD· 2 shared Michael P. DunneiD· 2 shared Georgina S. StegmayeriD· 1 shared Javier Caceres‐DelpianoiD· 1 shared Rosario VitaleiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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5 top collaborators · 8 mutual co-author links

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2 shared papersBioinformatics

Andrey V. KajavaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 3, 2026

LLPSight: enhancing prediction of LLPS-driving proteins using machine learning and protein Language Models

Valentin Gonay, Rosario Vitale, Georgina S. Stegmayer…·Andrey V. Kajava

LLPSight predicts LLPS-driving proteins using machine learning and protein language models, achieving an F1 score of 0.885 and identifying promising targets in the human proteome.

DOI 10.64898/2026.03.01.708814

humanprotein sequence

BioinformaticsbioRxivPreprintFeb 12, 2024

Developing machine-learning-based amyloid predictors with Cross-Beta DB

Valentin Gonay, Michael P. Dunne, Javier Caceres‐Delpiano, Andrey V. Kajava

The paper develops machine learning predictors for amyloid formation using a new database of naturally occurring cross-beta amyloids, showing improved performance over existing methods.

3 citations

protein sequencemachine learning (classical)