Evidence map›Paper›PMID 40813894›Full record

ArticleCommunications biology2025

FANTASIA leverages language models to decode the functional dark proteome across the animal tree of life.

Gemma I Martínez-Redondo, Francisco M Perez-Canales, Belén Carbonetto, José M Fernández, Israel Barrios-Núñez, Marçal Vázquez-Valls, Ildefonso Cases, Ana M Rojas, Rosa Fernández

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  8. Ballistic Microscopy (BaM).bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gemma I Martínez-RedondoMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain. gemma.martinez@ibe.upf-csic.es.ORCID http://orcid.org/0000-0001-5633-8690
Francisco M Perez-CanalesComputational Biology and Bioinformatics, Andalusian Center for Developmental Biology (CABD-CSIC), Sevilla, Spain.ORCID http://orcid.org/0009-0008-6422-2303
Belén CarbonettoMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.
José M FernándezBarcelona Supercomputing Center, Plaça d'Eusebi Güell, Barcelona, Spain.ORCID http://orcid.org/0000-0002-4806-5140
Israel Barrios-NúñezComputational Biology and Bioinformatics, Andalusian Center for Developmental Biology (CABD-CSIC), Sevilla, Spain.
Marçal Vázquez-VallsMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.
Ildefonso CasesComputational Biology and Bioinformatics, Andalusian Center for Developmental Biology (CABD-CSIC), Sevilla, Spain.ORCID http://orcid.org/0000-0002-8784-5174
Ana M Rojas *Computational Biology and Bioinformatics, Andalusian Center for Developmental Biology (CABD-CSIC), Sevilla, Spain. a.rojas.m@csic.es.
Rosa Fernández *Metazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain. rosa.fernandez@ibe.upf-csic.es.ORCID http://orcid.org/0000-0002-4719-6640

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101129751Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) MDM-2016-0687Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PID2021-127503OB-I00
6 · The paper itself

Abstract

Protein functional annotation is crucial in biology, but many protein-coding genes remain uncharacterized, especially in non-model organisms. FANTASIA (Functional ANnoTAtion based on embedding space SImilArity) integrates protein language models for large-scale functional annotation. Applied to ~1000 animal proteomes, FANTASIA predicts functions to virtually all proteins, including up to 50% that remained unannotated by traditional homology-based methods. This enables the discovery of novel gene functions, enhancing our understanding of molecular evolution and organismal biology. FANTASIA holds particular promise for functional discovery in non-model taxa, offering advantages over homology-based tools in sensitivity and generalizability. FANTASIA is available on GitHub at https://github.com/CBBIO/FANTASIA .

Indexed as

Computational BiologyMolecular Sequence AnnotationProteomeSoftwareAnimalsEvolution, MolecularProteome

Identifiers

PMID40813894
PMCPMC12354702

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.