Genome-Scale Metabolic Models in Fungal Pathogens: Past, Present, and Future.
fungi
genome-scale metabolic model
pathogen
virulence
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
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