Prediction of Translational Regulation by Network Interaction in Synaptic Plasticity Induced with
Journal
TheScientificWorldJournal
ISSN: 1537-744X
Titre abrégé: ScientificWorldJournal
Pays: United States
ID NLM: 101131163
Informations de publication
Date de publication:
2023
2023
Historique:
received:
13
09
2022
revised:
19
05
2023
accepted:
29
05
2023
medline:
17
7
2023
pubmed:
13
7
2023
entrez:
13
7
2023
Statut:
epublish
Résumé
Recently, human life expectancy, aging, and age-related health disorders, especially neurodegenerative diseases such as Alzheimer's disease (AD), have increased. The increasing number of AD patients causes a heavy social and economic burden on society. Since there is no treatment for AD, utilization of natural products is currently accepted as an alternative or integrative treatment agent against AD. Selection of protein databases related to synaptic plasticity was obtained from a gene bank. The protein-protein interaction (PPI) analysis was performed using Cytoscape 3.9.1. Prediction of From the protein database, 446 protein coding genes related to synaptic plasticity were found. PPI and KEGG pathway analysis showed potentiality to inhibit AKT and mTORC1 pathways. The targeted proteins were TSC1, Rheb, and FMRP. This study showed potentiality of
Sections du résumé
Background
UNASSIGNED
Recently, human life expectancy, aging, and age-related health disorders, especially neurodegenerative diseases such as Alzheimer's disease (AD), have increased. The increasing number of AD patients causes a heavy social and economic burden on society. Since there is no treatment for AD, utilization of natural products is currently accepted as an alternative or integrative treatment agent against AD.
Methods
UNASSIGNED
Selection of protein databases related to synaptic plasticity was obtained from a gene bank. The protein-protein interaction (PPI) analysis was performed using Cytoscape 3.9.1. Prediction of
Results
UNASSIGNED
From the protein database, 446 protein coding genes related to synaptic plasticity were found. PPI and KEGG pathway analysis showed potentiality to inhibit AKT and mTORC1 pathways. The targeted proteins were TSC1, Rheb, and FMRP.
Conclusion
UNASSIGNED
This study showed potentiality of
Identifiants
pubmed: 37440991
doi: 10.1155/2023/4199614
pmc: PMC10335753
doi:
Substances chimiques
Triterpenes
0
Plant Extracts
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
4199614Informations de copyright
Copyright © 2023 Nurhadi Ibrahim et al.
Déclaration de conflit d'intérêts
The authors declare no conflicts of interest.
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