Author

Marco Reverenna

Novo Nordisk FoundationORCID 0009-0001-0763-6533Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:protein structure prediction· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Jemma DanieliD· 2 shared Jeroen Van GoeyiD· 2 shared Konstantinos KalogeropoulosiD· 2 shared Timothy P. JenkinsiD· 2 shared Alberto SantosiD· 1 shared Andreas H. LaustseniD· 1 shared Anne LjungarsiD· 1 shared Darian Stephan WolffiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Jemma DanielORCID

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2 papers

Recent·Most cited

Learning from tandem mass spectra at scale with a self-supervised foundation model for proteomics

Mechiel Nieuwoudt, Marco Reverenna, Divanisha Patel, Rachel Catzel, Isaac H.J. Houngue, Jemma Daniel, Kevin Eloff, Alberto Santos, Nicolás López Carranza, Timothy P. Jenkins, Jeroen Van Goey, Konstantinos Kalogeropoulos

This paper introduces InstaNovo-FM, a self-supervised foundation model for proteomics that learns from tandem mass spectra to enable transferable applications across datasets and instruments.

bioRxiv · Sep 8, 2026 · PreprintBioinformatics

Generalizable direct protein sequencing with InstaNexus

Marco Reverenna, Maike Wennekers Nielsen, Darian Stephan Wolff, Jemma Daniel, Elpida Lytra, Suthimon Thumtecho, Pasquale Colaianni, Anne Ljungars, Andreas H. Laustsen, Erwin M. Schoof, Jeroen Van Goey, Timothy P. Jenkins, Marie Vestergaard Lukassen, Santos Alberto, Konstantinos Kalogeropoulos

This paper introduces a workflow for direct protein sequencing using AI-driven methods, validated across diverse proteins to improve accuracy and reduce ambiguity in therapeutic and scientific applications.

Molecular & Cellular Proteomics · Mar 3, 2026Peer-reviewedBioinformatics