Author

Francisco M Pérez-Canales

Consejo Superior de Investigaciones CientíficasORCID 0009-0008-6422-2303Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:multiple species· 1 Assay:proteomics· 1

Frequent Co-Authors

Ana Maria RojasiD· 1 shared Belén CarbonettoiD· 1 shared Gemma I. Martínez‐RedondoiD· 1 shared Ildefonso CasesiD· 1 shared Israel Barrios-NúñeziD· 1 shared José M. FernándeziD· 1 shared Marçal Vázquez-VallsiD· 1 shared Rosa FernándeziD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperEvolutionary Biology

Ana Maria RojasORCID

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1 paper

Recent·Most cited

Evolutionary BiologyCommunications BiologyPeer-reviewedAug 14, 2025

Leveraging Natural Language Processing models to decode the dark proteome across the Animal Tree of Life

Gemma I. Martínez‐Redondo, Francisco M Pérez-Canales, Belén Carbonetto…·Rosa Fernández

This paper introduces FANTASIA, a tool using protein language models to annotate functions for thousands of animal proteomes, uncovering previously unknown functions across species.

34 citationstop 2%

multiple speciesproteomics

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