Evidence map›Paper›PMID 42017051›Full record

ArticleComputational and structural biotechnology journal2026

FAMeDB: A Curated Database for the Analysis of Fungal Aromatic Compound Metabolism.

Tiago M Martins, Rita C Carmo, Cristina Silva Pereira

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Tiago M MartinsInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa (ITQB NOVA), Oeiras, Portugal.ORCID https://orcid.org/0000-0003-1474-9971
Rita C CarmoInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa (ITQB NOVA), Oeiras, Portugal.ORCID https://orcid.org/0009-0004-4175-3161
Cristina Silva PereiraInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa (ITQB NOVA), Oeiras, Portugal.ORCID https://orcid.org/0000-0002-6750-1593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aromatic compounds represent the second most abundant class of organic molecules after carbohydrates, and their microbial metabolism is of broad relevance across multiple research disciplines. Metabolic pathways involving aromatic compounds span from highly conserved anabolic routes to more variable catabolic processes. Numerous peripheral catabolic pathways converge on a small number of central intermediates that undergo aromatic ring opening in the central pathways. Over the past decades, alongside numerous peripheral pathway genes, most of the catabolic genes constituting the central metabolic pathways have finally been characterized in fungi. Here, we present FAMeDB, a manually curated database of proteins involved in fungal aromatic compound metabolism, together with an R-based bioinformatic workflow for orthology data processing. The database currently includes 408 proteins, primarily enzymes, but also includes transcription factors and transporters. Entries span 82 species and 56 genera of fungi. Most entries are from Ascomycota (80%), with a substantial number from

Identifiers

PMID42017051
PMCPMC13094099

What Socratic holds

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Registered trials

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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 Socratic graph.