Evidence map›Paper›PMID 39409179›Full record

ReviewInternational journal of molecular sciences2024

Genome-Scale Metabolic Models in Fungal Pathogens: Past, Present, and Future.

Angie Lorena Fonseca-Fernández, Andrés Fernando González Barrios, Adriana Marcela Celis Ramírez

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Angie Lorena Fonseca-FernándezGrupo de Investigación Celular y Molecular de Microorganismos Patógenos (CeMoP), Department of Biological Science, Faculty of Science, Universidad de los Andes, Bogotá 111711, Colombia.ORCID 0009-0009-5709-2042
Andrés Fernando González BarriosGrupo de Diseño de Productos y Procesos (GDPP), Departament of Chemical and Food Engineering, Faculty of Engineering, Universidad de los Andes, Bogotá 111711, Colombia.ORCID 0000-0003-2517-2020
Adriana Marcela Celis RamírezGrupo de Investigación Celular y Molecular de Microorganismos Patógenos (CeMoP), Department of Biological Science, Faculty of Science, Universidad de los Andes, Bogotá 111711, Colombia.ORCID 0000-0003-3057-1966

Funding

Sciences Faculty, Universidad de los Andes INV-2022-151-2624 and INV-2023-162-2720
6 · The paper itself

Abstract

Fungi are diverse organisms with various characteristics and functions. Some play a role in recycling essential elements, such as nitrogen and carbon, while others are utilized in the food and drink production industry. Some others are known to cause diseases in various organisms, including humans. Fungal pathogens cause superficial, subcutaneous, and systemic infections. Consequently, many scientists have focused on studying the factors contributing to the development of human diseases. Therefore, multiple approaches have been assessed to examine the biology of these intriguing organisms. The genome-scale metabolic models (GEMs) have demonstrated many advantages to microbial metabolism studies and the ability to propose novel therapeutic alternatives. Despite significant advancements, much remains to be elucidated regarding the use of this tool for investigating fungal metabolism. This review aims to compile the data provided by the published GEMs of human fungal pathogens. It gives specific examples of the most significant contributions made by these models, examines the advantages and difficulties associated with using such models, and explores the novel approaches suggested to enhance and refine their development.

Indexed as

FungiGenome, FungalHumansMetabolic Networks and PathwaysModels, BiologicalMycosesfungigenome-scale metabolic modelpathogenvirulence

Identifiers

PMID39409179
PMCPMC11476900

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.