Screening of Potential Drug Targets Based on the Genome-Scale Metabolic Network Model of .
Fuente:
PubMed
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Current issues in molecular biology
2025
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1868266171990540288 |
|---|---|
| author | Zhang, Lingrui Wang, Bin Zhang, Ruiqi He, Zhen Zhang, Mingzhi Hao, Tong Sun, Jinsheng |
| author_facet | Zhang, Lingrui Wang, Bin Zhang, Ruiqi He, Zhen Zhang, Mingzhi Hao, Tong Sun, Jinsheng Zhang, Lingrui Wang, Bin Zhang, Ruiqi He, Zhen Zhang, Mingzhi Hao, Tong Sun, Jinsheng |
| collection | PubMed - marine biology |
| contents | Screening of Potential Drug Targets Based on the Genome-Scale Metabolic Network Model of . Zhang, Lingrui Wang, Bin Zhang, Ruiqi He, Zhen Zhang, Mingzhi Hao, Tong Sun, Jinsheng is a pathogenic bacterium widely distributed in marine environments, posing significant threats to aquatic organisms and human health. The overuse and misuse of antibiotics has led to the development of multidrug- and pan-resistant strains. There is an urgent need for novel antibacterial therapies with innovative mechanisms of action. In this work, a genome-scale metabolic network model (GMSN) of , named VPA2061, was reconstructed to predict the metabolites that can be explored as potential drug targets for eliminating infections. The model comprises 2061 reactions and 1812 metabolites. Through essential metabolite analysis and pathogen-host association screening with VPA2061, 10 essential metabolites critical for the survival of were identified, which may serve as key candidates for developing new antimicrobial strategies. Additionally, 39 structural analogs were found for these essential metabolites. The molecular docking analysis of the essential metabolites and structural analogs further investigated the potential value of these metabolites for drug design. The GSMN reconstructed in this work provides a new tool for understanding the pathogenic mechanisms of . Furthermore, the analysis results regarding the essential metabolites hold profound implications for the development of novel antibacterial therapies for -related disease. |
| format | Artículo científico |
| id | pubmed_40729044 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Current issues in molecular biology |
| record_format | pubmed |
| spellingShingle | Screening of Potential Drug Targets Based on the Genome-Scale Metabolic Network Model of . Zhang, Lingrui Wang, Bin Zhang, Ruiqi He, Zhen Zhang, Mingzhi Hao, Tong Sun, Jinsheng Screening of Potential Drug Targets Based on the Genome-Scale Metabolic Network Model of . Zhang, Lingrui Wang, Bin Zhang, Ruiqi He, Zhen Zhang, Mingzhi Hao, Tong Sun, Jinsheng is a pathogenic bacterium widely distributed in marine environments, posing significant threats to aquatic organisms and human health. The overuse and misuse of antibiotics has led to the development of multidrug- and pan-resistant strains. There is an urgent need for novel antibacterial therapies with innovative mechanisms of action. In this work, a genome-scale metabolic network model (GMSN) of , named VPA2061, was reconstructed to predict the metabolites that can be explored as potential drug targets for eliminating infections. The model comprises 2061 reactions and 1812 metabolites. Through essential metabolite analysis and pathogen-host association screening with VPA2061, 10 essential metabolites critical for the survival of were identified, which may serve as key candidates for developing new antimicrobial strategies. Additionally, 39 structural analogs were found for these essential metabolites. The molecular docking analysis of the essential metabolites and structural analogs further investigated the potential value of these metabolites for drug design. The GSMN reconstructed in this work provides a new tool for understanding the pathogenic mechanisms of . Furthermore, the analysis results regarding the essential metabolites hold profound implications for the development of novel antibacterial therapies for -related disease. |
| title | Screening of Potential Drug Targets Based on the Genome-Scale Metabolic Network Model of . |
| url | https://pubmed.ncbi.nlm.nih.gov/40729044/ |