ArticleCombinatorial chemistry & high throughput screening2025
Potential Antibacterial of Leaf Sirih Merah Against
Article in Combinatorial chemistry & high throughput screening, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- From Phytochemistry to Drug Discovery: A Systematic Review of Multitarget Pharmacology and Lead Compound Prioritization ofDrug design, development and therapy · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDental root canal failure is a disease caused by gram-positive bacteria, Enterococcus faecalis. The disease is caused by the bacterial cell wall consisting of a peptidoglycan layer that protects the bacteria from internal osmotic pressure. Peptidoglycan biosynthesis includes many enzymes, such as MurA, Penicillin-binding protein (PBP), and SrtA. Herbal plants are a source of bioactive compounds, including antibacterial agents. There is information that red betel leaves, also known as
objectiveThis study aims to determine the antibacterial activity of the extract in vitro, screen and study the antibacterial compounds of red betel leaves against oral pathogenic bacteria, namely
methodsThe n-hexan:ea (9:1) fraction of P. crocatum extract was tested for inhibition zones against E. faecalis ATCC 29212 bacteria, fractions that had positive results were then identified using the LC-MS method. The LC-MS resulting compounds were tested using in silico.
resultsAntibacterial in the n-hexane: ethyl acetate (9:1) fraction of Red Betel Leaf has the best concentration of 10% with a moderate inhibition zone category. LC-MS test results identified compounds including Longicamphenylone, m/z 207, Nootkatone m/z 219, and Tridecanal m/z 221. Molecular interactions between these compounds with target proteins, namely MurA, PBP, and SrtA, show lower binding affinity values than natural ligands and positive controls for each protein.
conclusionNootkatone compounds demonstrated potential as MurA and PBP inhibitors, while Longicamphenylone compounds showed potential as SrtA inhibitors. Both compounds have the potential to inhibit peptidoglycan biosynthesis and bacterial cell wall formation through docking simulations.
Indexed as
Identifiers
39810530What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.