State of the art in protein-protein interactions within the fungi kingdom.

PPI PPI computational methodology drug design fungi kingdom hotspot interface of interaction

Journal

Future microbiology
ISSN: 1746-0921
Titre abrégé: Future Microbiol
Pays: England
ID NLM: 101278120

Informations de publication

Date de publication:
11 2023
Historique:
medline: 13 11 2023
pubmed: 4 8 2023
entrez: 4 8 2023
Statut: ppublish

Résumé

Proteins rarely exert their function by themselves. Protein-protein interactions (PPIs) regulate virtually every biological process that takes place in a cell. Such interactions are targets for new therapeutic agents against all sorts of diseases, through the screening and design of a variety of inhibitors. Here we discuss several aspects of PPIs that contribute to prediction of protein function and drug discovery. As the high-throughput techniques continue to release biological data, targets for fungal therapeutics that rely on PPIs are being proposed worldwide. Computational approaches have reduced the time taken to develop new therapeutic approaches. The near future brings the possibility of developing new PPI and interaction network inhibitors and a revolution in the way we treat fungal diseases.

Identifiants

pubmed: 37540069
doi: 10.2217/fmb-2022-0274
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1119-1131

Auteurs

Thaynara G Santos (TG)

Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, 74 000, Brazil.

Kleber Sf Silva (KS)

Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, 74 000, Brazil.

Raisa M Lima (RM)

Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, 74 000, Brazil.

Lívia C Silva (LC)

Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, 74 000, Brazil.

Maristela Pereira (M)

Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Goiás, 74 000, Brazil.

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Classifications MeSH