Screening of promising molecules against potential drug targets in Yersinia pestis by integrative pan and subtractive genomics, docking and simulation approach.
Yersinia pestis
Drug target identification
In silico analysis
Novel antibiotics
Virtual screening
Journal
Archives of microbiology
ISSN: 1432-072X
Titre abrégé: Arch Microbiol
Pays: Germany
ID NLM: 0410427
Informations de publication
Date de publication:
25 Sep 2024
25 Sep 2024
Historique:
received:
19
07
2024
accepted:
10
09
2024
revised:
02
09
2024
medline:
25
9
2024
pubmed:
25
9
2024
entrez:
25
9
2024
Statut:
epublish
Résumé
This study focuses on Yersinia pestis, the bacterium responsible for plague, which posed a severe threat to public health in history. Despite the availability of antibiotics treatment, the emergence of antibiotic resistance in this pathogen has increased challenges of controlling the infections and plague outbreaks. The development of new drug targets and therapies is urgently needed. This research aims to identify novel protein targets from 28 Y. pestis strains by the integrative pan-genomic and subtractive genomics approach. Additionally, it seeks to screen out potential safe and effective alternative therapies against these targets via high-throughput virtual screening. Targets should lack homology to human, gut microbiota, and known human 'anti-targets', while should exhibit essentiality for pathogen's survival and virulence, druggability, antibiotic resistance, and broad spectrum across multiple pathogenic bacteria. We identified two promising targets: the aminotransferase class I/class II domain-containing protein and 3-oxoacyl-[acyl-carrier-protein] synthase 2. These proteins were modeled using AlphaFold2, validated through several structural analyses, and were subjected to molecular docking and ADMET analysis. Molecular dynamics simulations determined the stability of the ligand-target complexes, providing potential therapeutic options against Y. pestis.
Identifiants
pubmed: 39320535
doi: 10.1007/s00203-024-04140-y
pii: 10.1007/s00203-024-04140-y
doi:
Substances chimiques
Anti-Bacterial Agents
0
Bacterial Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
415Subventions
Organisme : the Funding for school-level research projects of Yancheng Institute of Technology
ID : xjr2020020
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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