ArticleJournal of experimental pharmacology2024
GC-MS, Antibacterial and In silico Studies of Sudanese
Article in Journal of experimental pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- New mercaptoacrylate derivatives and other constituents from the stem bark of Senegalia polyacantha: in vitro antioxidant and antiplasmodial activities with in silico target validation.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Chemical composition, antioxidant and antimicrobial activities, and molecular docking of Acacia gerrardii leaf extract.Scientific reports · 2026Article
- Assessment of the risk associated withFrontiers in microbiology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Antimicrobial resistance is a critical global issue, and medicinal plants, as a key source of therapeutic agents, offer potential solutions by offering new antibacterial agents. Methods: The stem bark of the plant was extracted by maceration using a hydro-ethanol solvent and analyzed via GC-MS. The antibacterial activity of the extract was evaluated against Results: GC-MS analysis revealed the presence of 11 compounds, with the major ones being dopamine, N, N-dimethyl-, dimethyl ether (43.76%), 4-O-methylmannose (23.27%), sucrose (8.09%), 1,4,7-triazacyclononane, 1-benzoyl- (5.41%), and lupeol, trifluoroacetate (5.24%). The extract demonstrated significant effectiveness against both bacterial strains, even at a low concentration of 50 mg/mL. Molecular docking showed that compounds 1, 3, 4, and 6 had the best docking scores with enoyl-acyl carrier protein reductase (FabI) (PDB ID: 3GR6) from Conclusion: This study provides the first GC-MS analysis of
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Registered trials
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