In-silico study of antisense oligonucleotide antibiotics.
Antibiotic
Antibiotic resistance
Antisense oligonucleotide
Bioinformatics
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2023
2023
Historique:
received:
04
07
2023
accepted:
03
10
2023
medline:
1
12
2023
pubmed:
29
11
2023
entrez:
29
11
2023
Statut:
epublish
Résumé
The rapid emergence of antibiotic-resistant bacteria directly contributes to a wave of untreatable infections. The lack of new drug development is an important driver of this crisis. Most antibiotics today are small molecules that block vital processes in bacteria. To optimize such effects, the three-dimensional structure of targeted bacterial proteins is imperative, although such a task is time-consuming and tedious, impeding the development of antibiotics. The development of RNA-based therapeutics has catalyzed a new platform of antibiotics-antisense oligonucleotides (ASOs). These molecules hybridize with their target mRNAs with high specificity, knocking down or interfering with protein translation. This study aims to develop a bioinformatics pipeline to identify potent ASO targets in essential bacterial genes. Three bacterial species ( A total of 45,628 ASOs were generated from 348 unique essential genes in
Sections du résumé
Background
UNASSIGNED
The rapid emergence of antibiotic-resistant bacteria directly contributes to a wave of untreatable infections. The lack of new drug development is an important driver of this crisis. Most antibiotics today are small molecules that block vital processes in bacteria. To optimize such effects, the three-dimensional structure of targeted bacterial proteins is imperative, although such a task is time-consuming and tedious, impeding the development of antibiotics. The development of RNA-based therapeutics has catalyzed a new platform of antibiotics-antisense oligonucleotides (ASOs). These molecules hybridize with their target mRNAs with high specificity, knocking down or interfering with protein translation. This study aims to develop a bioinformatics pipeline to identify potent ASO targets in essential bacterial genes.
Methods
UNASSIGNED
Three bacterial species (
Results
UNASSIGNED
A total of 45,628 ASOs were generated from 348 unique essential genes in
Identifiants
pubmed: 38025700
doi: 10.7717/peerj.16343
pii: 16343
pmc: PMC10656905
doi:
Substances chimiques
Oligonucleotides, Antisense
0
Anti-Bacterial Agents
0
Oligonucleotides
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e16343Informations de copyright
© 2023 Chen and Ho.
Déclaration de conflit d'intérêts
The authors declare that they have no competing interests.
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