Evidence map›Paper›PMID 40108657›Full record

ArticleMicrobiome2025

MicrobeRX: a tool for enzymatic-reaction-based metabolite prediction in the gut microbiome.

Angel J Ruiz-Moreno, Ángela Del Castillo-Izquierdo, Isabel Tamargo-Rubio, Jingyuan Fu

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

4 authors.

Angel J Ruiz-MorenoDepartment of Genetics, University Medical Center Groningen, Groningen, 9713GZ, The Netherlands. angel.j.ruiz.moreno@gmail.com.
Ángela Del Castillo-IzquierdoDepartment of Genetics, University Medical Center Groningen, Groningen, 9713GZ, The Netherlands.
Isabel Tamargo-RubioDepartment of Genetics, University Medical Center Groningen, Groningen, 9713GZ, The Netherlands.
Jingyuan FuDepartment of Genetics, University Medical Center Groningen, Groningen, 9713GZ, The Netherlands. j.fu@umcg.nl.

Funding

European Research Council 101001678Nederlandse Organisatie voor Wetenschappelijk Onderzoek VI.C.202.022
6 · The paper itself

Abstract

backgroundThe gut microbiome functions as a metabolic organ, producing numerous enzymes that influence host health; however, their substrates and metabolites remain largely unknown.

resultsWe present MicrobeRX, an enzyme-based metabolite prediction tool that employs 5487 human reactions and 4030 unique microbial reactions from 6286 genome-scale models, as well as 3650 drug metabolic reactions from the DrugBank database (v.5.1.12). MicrobeRX includes additional analysis modules for metabolite visualization and enzymatic and taxonomic analyses. When we applied MicrobeRX to 1083 orally administered drugs that have been approved in at least one jurisdiction at some point in time (DrugBank), it predicted metabolites with physicochemical properties and structures similar to metabolites found in biosamples (from MiMeDB). It also outperformed another existing metabolite prediction tool (BioTransformer 3.0) in terms of predictive potential, molecular diversity, reduction of redundant predictions, and enzyme annotation.

conclusionsOur analysis revealed both unique and overlapping metabolic capabilities in human and microbial metabolism and chemo- and taxa-specific microbial biotransformations. MicrobeRX bridges the genomic and chemical spaces of the gut microbiome, making it a valuable tool for unlocking the chemical potential of the gut microbiome in human health, the food and pharmaceutical industries, and environmental safety. Video Abstract.

Indexed as

BacteriaComputational BiologyEnzymesGastrointestinal MicrobiomeSoftwareBiotransformationHumansEnzymes

Identifiers

PMID40108657
PMCPMC11921629

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.