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


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
09 Oct 2024
Historique:
received: 31 07 2024
revised: 04 10 2024
accepted: 07 10 2024
medline: 16 10 2024
pubmed: 16 10 2024
entrez: 16 10 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 39409179
pii: ijms251910852
doi: 10.3390/ijms251910852
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Sciences Faculty, Universidad de los Andes
ID : INV-2022-151-2624 and INV-2023-162-2720

Auteurs

Angie Lorena Fonseca-Fernández (AL)

Grupo de Investigación Celular y Molecular de Microorganismos Patógenos (CeMoP), Department of Biological Science, Faculty of Science, Universidad de los Andes, Bogotá 111711, Colombia.

Andrés Fernando González Barrios (AF)

Grupo de Diseño de Productos y Procesos (GDPP), Departament of Chemical and Food Engineering, Faculty of Engineering, Universidad de los Andes, Bogotá 111711, Colombia.

Adriana Marcela Celis Ramírez (AM)

Grupo de Investigación Celular y Molecular de Microorganismos Patógenos (CeMoP), Department of Biological Science, Faculty of Science, Universidad de los Andes, Bogotá 111711, Colombia.

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Classifications MeSH