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基于西非洲传统医学的植物化合物的计算机筛选及针对登革热病毒 NS2B/NS3 蛋白的分子对接

In Silico Screening of Phytocompounds from West African Traditional Medicine and Molecular Docking Targeting Dengue Virus Protein NS2B/NS3.

机构信息

Université NAZI BONI, Bobo Dioulasso, Burkina-Faso.

Centre de Formation et de Recherche en Technologie Médicale, Bobo Dioulasso, Burkina-Faso.

出版信息

Stud Health Technol Inform. 2024 Aug 22;316:631-635. doi: 10.3233/SHTI240492.

Abstract

Traditional medicine offers a wide range of application for in silico study techniques. This drug research and development strategy is embryonic in the West African context, particularly in Burkina Faso, which is increasingly faced with emerging diseases such as dengue fever. Circulation of the 4 serotypes of this virus has been documented in the country. This study aims to evaluate the therapeutic potential of phytocompounds contained in the West African pharmacopoeia against dengue virus NS2B/NS3 protein, using computational methods integrating several software packages and databases. Based on a literature review, we identified 191 molecules from 30 plants known for their antiviral effects. Five met the inclusion criteria for molecular docking: patulin from calotropis procera, resiniferonol from Euphorbia poissonii, Securinol A from Flueggea virosa, Shikimic acid and Methyl gallate from Terminalia macroptera. The best binding scores were observed between resiniferonol and the serotypes 1, 2 and 4 NS2B/NS3 protease, with binding energies of -7.4 Kcal/mol, -6.8 Kcal/mol and -7.3 Kcal/mol respectively; while the NS2B/NS3 protease of serotype 3 had the best affinity for securinol A (-7 Kcal/mol). This study points the way to further research in computer aided drug design field and calls for multidisciplinary collaboration to promote West African medicinal plants against health challenges.

摘要

传统医学为计算机模拟研究技术提供了广泛的应用。这种药物研发策略在西非背景下还处于萌芽阶段,特别是在布基纳法索,该国正日益面临登革热等新出现的疾病的挑战。该国已记录到该病毒的 4 种血清型的传播。本研究旨在使用整合了多个软件包和数据库的计算方法,评估西非药典中所含植物化合物对登革病毒 NS2B/NS3 蛋白的治疗潜力。通过文献回顾,我们从 30 种具有抗病毒作用的植物中确定了 191 种分子。有 5 种分子符合分子对接的纳入标准:来自牛角瓜的根皮苷、来自大戟的瑞香素、来自黄桐的 Securinol A、来自诃子的莽草酸和没食子酸甲酯。瑞香素与血清型 1、2 和 4 NS2B/NS3 蛋白酶的结合得分最高,分别为-7.4 Kcal/mol、-6.8 Kcal/mol 和-7.3 Kcal/mol;而血清型 3 的 NS2B/NS3 蛋白酶与 Securinol A 的亲和力最强(-7 Kcal/mol)。这项研究为计算机辅助药物设计领域的进一步研究指明了方向,并呼吁开展多学科合作,以促进利用西非药用植物应对健康挑战。

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