Computer-aided molecular and biological-immune modeling of illicium verum bioactive compounds employing the Egyptian Nile snail Biomphalaria alexandrina as a paradigm.

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Alya Mashaal, Basma M Abou El-Nour, Fatma M Ismail, Eman A Elewa, Eman A Elnoby, Eman B Ebada, Ayaat G Mohammed, Manar F El-Sahmawy, Mariam M Mansour, Nermeen N Khames, Hend M Ghorab, Safaa A Osman, Alshimaa A Elsaid, Maryam M Abd-Alaziz, Asmaa S Zayed, Asmaa A Abo Elqasem
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引用次数: 0

Abstract

In pursuit of sustainable biocontrol strategies, this study explores Illicium verum (star anise) as a dual-action anti-inflammatory/oxidative and molluscicidal agent using Biomphalaria alexandrina, the intermediate host of Schistosoma mansoni, as an eco-relevant in vivo model. Two experimental snail groups were employed: a control group and a treatment group exposed to a sublethal concentration of I. verum extract (LC₁₀ = 315 ppm). Through a combined pipeline of phytochemical profiling, computational simulations, and in vivo assays, we identified flavonoids and phenylpropanoids with potent bioactivity. Molecular docking and ADMET screening highlighted kaempferol, quercetin, and rutin as top ligands, which bind effectively to key snail proteins such as cytochrome c oxidase and actin. In vivo analyses confirmed immunomodulatory effects, and these findings were validated through oxidative/inflammatory biomarker assays, which revealed altered cytokine levels (IFN-γ, IL-2 and IL-6), tissue remodeling, and reduced oxidative stress. Histopathological and immunohistochemical evaluations revealed significant tissue alterations in the digestive gland and head-foot regions of treated snails. Gene and protein interaction networks supported these findings by linking compound action to immune and oxidative regulatory pathways. This integrative study demonstrated that Illicium verum contains bioactive compounds capable of modulating oxidative stress, immune responses, and tissue integrity in B. alexandrina as an animal model. Integrating phytochemical analysis with in silico and molecular simulations offers a powerful approach for understanding and optimizing bioactive compounds. While phytochemical profiling identifies key constituents such as flavonoids and phenylpropanoids, computational tools predict their binding to biological targets, pharmacokinetics, and safety. This combination not only streamlines the discovery of effective and low-toxicity compounds but also clarifies their mechanisms of action at the molecular level, enhancing both the precision and efficiency of experimental validation. These results position star anise as a promising, eco-friendly candidate for the development of novel molluscicidal and anti-inflammatory agents supporting sustainable disease control strategies.

以埃及尼罗河蜗牛亚历山大生物phalaria为范例的八头菇生物活性化合物的计算机辅助分子和生物免疫建模。
为了寻求可持续的生物防治策略,本研究以曼氏血吸虫的中间宿主alexandrina为生态相关的体内模型,探索八角茴香作为一种双作用的抗炎/氧化和杀螺剂。采用两个实验蜗牛组:对照组和处理组暴露于亚致死浓度的羊角草提取物(LC₁₀= 315 ppm)。通过植物化学分析、计算模拟和体内实验,我们确定了类黄酮和苯丙素具有有效的生物活性。分子对接和ADMET筛选显示山奈酚、槲皮素和芦丁是顶级配体,它们与细胞色素c氧化酶和肌动蛋白等关键蜗牛蛋白有效结合。体内分析证实了免疫调节作用,这些发现通过氧化/炎症生物标志物分析得到验证,结果显示细胞因子水平(IFN-γ、IL-2和IL-6)、组织重塑和氧化应激降低。组织病理学和免疫组织化学评估显示,处理过的蜗牛的消化腺和头足区域有明显的组织改变。基因和蛋白质相互作用网络通过将化合物作用与免疫和氧化调节途径联系起来,支持了这些发现。这项综合研究表明,作为动物模型,八角草含有能够调节氧化应激、免疫反应和alexandrina组织完整性的生物活性化合物。将植物化学分析与硅模拟和分子模拟相结合,为理解和优化生物活性化合物提供了有力的方法。虽然植物化学分析确定了黄酮类化合物和苯丙素等关键成分,但计算工具可以预测它们与生物靶点的结合、药代动力学和安全性。这种结合不仅简化了有效和低毒性化合物的发现,而且在分子水平上阐明了它们的作用机制,提高了实验验证的精度和效率。这些结果表明,八角茴香是一种有前途的、生态友好的候选物质,可用于开发新型灭螺剂和抗炎剂,支持可持续的疾病控制策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computer-Aided Molecular Design
Journal of Computer-Aided Molecular Design 生物-计算机:跨学科应用
CiteScore
8.00
自引率
8.60%
发文量
56
审稿时长
3 months
期刊介绍: The Journal of Computer-Aided Molecular Design provides a form for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas: - theoretical chemistry; - computational chemistry; - computer and molecular graphics; - molecular modeling; - protein engineering; - drug design; - expert systems; - general structure-property relationships; - molecular dynamics; - chemical database development and usage.
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