Integrating Ethnobotany and Artificial intelligence to validate the potential bioactivity of Two Medicinal Plants Traditionally used in the treatment of influenza in IBI-Village and surrounding areas, Democratic Republic of the Congo

Menga Mukolo Pisco, Gerengbo Koto Georges, M. Monizi, Masengo Ashande Colette, Tshimankinda Mpiana Pius, Mudogo Virima, K. Ngbolua
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Abstract

The research conducted an investigation into the utilization of medicinal plants for treating influenza, while also employing molecular modeling to scientifically validate their traditional applications. Informants were selected from IBI-Village and its environs using a snowball sampling technique. Data collection utilized semi-structured questionnaires and interviews. Consensus among informants and the cultural significance of the plants were assessed. A total of 40 plants employed in traditional influenza care were identified, including Cymbopogon citratus, Ocimum gratissimum, Tetradenia riparia, Eucalyptus globulus, Citrus limon, Zingiber officinalis, and Lippia multiflora. The majority of these plants were shrubs and trees. Analysis revealed that marital status influenced only the mode of recipe administration. Respondents were categorized based on ethnomedical practices: some were prescribed based on plant condition and parts used, while others focused on administration mode, preparation method, and form of use. Molecular docking demonstrated that selected compounds formed stable complexes, categorized into five classes: Neral and Eugenol (Class 1), Fenchone and Oseltamivir (Class 2), Eucalyptol and 1,8-Cineole (Class 3), (+)-Limonene (Class 4), and Zingiberene (Class 5). Neral and Eugenol formed two and four hydrogen bonds with the receptor, respectively. Molecular dynamics simulations showed around 300 amino acid residues interacting with the ligand, with specific residues like Arg_706, Val_709, Ser_712, and Arg_721 forming hydrogen bonds with Eugenol. The integration of molecular dynamics, molecular docking, and ethnobotany highlighted the potential efficacy of C. citratus and O. gratissimum against influenza at the molecular level. Formulating pharmaceuticals based on essential oils from these plants could enhance influenza management.
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结合民族植物学和人工智能验证刚果民主共和国 IBI 村及周边地区传统用于治疗流感的两种药用植物的潜在生物活性
该研究对利用药用植物治疗流感进行了调查,同时还利用分子模型对其传统应用进行了科学验证。研究人员采用滚雪球式抽样技术,从 IBI 村及其周边地区选取了信息提供者。数据收集采用了半结构化问卷和访谈的方式。对信息提供者之间的共识和植物的文化意义进行了评估。共确定了 40 种用于传统流感护理的植物,包括枸橼酸香蒲(Cymbopogon citratus)、广藿香(Ocimum gratissimum)、四季青(Tetradenia riparia)、蓝桉(Eucalyptus globulus)、柠檬(Citrus limon)、细辛(Zingiber officinalis)和多花菩提(Lippia multiflora)。这些植物大部分是灌木和乔木。分析表明,婚姻状况只影响配方的使用方式。根据民族医药实践对受访者进行了分类:一些受访者根据植物状况和使用部位开具处方,而另一些受访者则侧重于给药方式、制备方法和使用形式。分子对接表明,所选化合物形成了稳定的复合物,可分为五类:Neral和丁香酚(第1类)、葑酮和奥司他韦(第2类)、桉叶油醇和1,8-蒎烯(第3类)、(+)-柠檬烯(第4类)和辛夷烯(第5类)。Neral 和 Eugenol 分别与受体形成了两个和四个氢键。分子动力学模拟显示,约有 300 个氨基酸残基与配体相互作用,其中 Arg_706、Val_709、Ser_712 和 Arg_721 等特定残基与丁香酚形成氢键。分子动力学、分子对接和人种植物学的结合,从分子水平上凸显了 C. citratus 和 O. gratissimum 对流感的潜在功效。以这些植物的精油为基础配制药物,可以提高流感防治效果。
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