Potential Antibacterial of Leaf Sirih Merah Against Enterococcus Faecalis ATCC 29212 Bacteria.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2025-01-10 DOI:10.2174/0113862073344642241120041947
Trisna Yuliana, Devi Meliani, Dikdik Kurnia
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Abstract

Background: Dental 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 Piper crocatum, contain active substances such as flavonoids, terpenoids, and steroids. However, there is no additional information on the antibacterial properties of P. crocatum and the molecular mechanisms that affect the cell wall of E. faecalis ATCC 29212 bacteria.

Objective: This 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 E.faecalis ATCC 29212 through molecular docking.

Methods: The 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.

Results: Antibacterial 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.

Conclusion: Nootkatone 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.

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叶sirih Merah对粪肠球菌ATCC 29212细菌的潜在抗菌作用。
背景:牙根管失败是一种由革兰氏阳性菌粪肠球菌引起的疾病。这种疾病是由由肽聚糖层组成的细菌细胞壁引起的,肽聚糖层保护细菌免受内部渗透压的影响。肽聚糖的生物合成包括多种酶,如MurA、青霉素结合蛋白(PBP)和SrtA。草本植物是生物活性化合物的来源,包括抗菌剂。有资料表明,红槟榔叶,也被称为红槟榔,含有黄酮类化合物、萜类化合物和类固醇等活性物质。然而,关于p.c rocatum的抗菌特性和影响粪肠杆菌ATCC 29212细菌细胞壁的分子机制还没有更多的信息。目的:测定红槟榔叶提取物的体外抑菌活性,通过分子对接筛选研究红槟榔叶对口腔致病菌粪肠杆菌ATCC 29212的抑菌化合物。方法:采用正己烷:ea(9:1)萃取物对粪肠杆菌ATCC 29212细菌进行抑菌区测定,并采用液相色谱-质谱法对阳性部位进行鉴定。用In Silico对LC-MS所得化合物进行了检测。结果:红槟榔叶正己烷:乙酸乙酯(9:1)部位抑菌效果最佳,浓度为10%,抑菌带中等。液相色谱-质谱分析鉴定出的化合物包括Longicamphenylone, m/z 207, Nootkatone m/z 219和Tridecanal m/z 221。这些化合物与靶蛋白(即MurA、PBP和SrtA)之间的分子相互作用显示出比天然配体和每种蛋白的阳性对照更低的结合亲和力值。结论:诺卡酮类化合物具有抑制MurA和PBP的潜力,隆卡苯酮类化合物具有抑制SrtA的潜力。通过对接模拟,这两种化合物都有抑制肽聚糖生物合成和细菌细胞壁形成的潜力。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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