DISPEL:用于确定治疗人类疾病的最佳药用植物的数据库
Kavya Singh1, Harshit Maurya1,2, Parthasarathi Singh1
1Computational Biology and Translational Bioinformatics (CBTB) Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India.
Database : the journal of biological databases and curation
|October 17, 2023
概括
DISPEL数据库整合了关于药用植物及其用于治疗疾病的信息. 它根据有效性对植物进行排名,有助于发现各种疾病的最佳自然疗法.
科学领域:
- 民族植物学 民族植物学
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
背景情况:
- 药用植物对于治疗疾病至关重要,但关于它们有效性的数据是零碎的.
- 需要一个集中的平台来确定最有效的药用植物用于特定疾病.
- 目前的资源缺乏一种基于其治疗价值的药用植物排名机制.
研究的目的:
- 开发一个全面的数据库,DISPEL (植物消除的疾病),用于药用植物及其相关的治病特性.
- 为探索药用植物疾病联系及其治疗潜力提供一个可搜索的平台.
- 为了使用户能够识别和排名最有效的药用植物治疗特定的人类疾病.
主要方法:
- 汇编了来自全球不同来源的约60,000个"药用植物疾病治愈"联系.
- 关于5500种药用植物和1000种疾病的综合数据.
- 开发了基于衍生产品,活性化合物,有效植物部件和支持文献的"药用植物疾病治愈"关系的评分系统.
主要成果:
- DISPEL数据库包含约6万种药用植物疾病治愈链接,涵盖约5500种植物和约1000种疾病.
- 该平台提供了植物疾病关系的交互式网络可视化.
- 用户可以根据疾病或植物名称进行搜索,并收到治疗植物的排名列表.
结论:
- DISPEL是第一个对特定疾病治疗药用植物进行排名的数据库,有助于识别最有效的选择.
- 该资源是开发有效的植物性组合疗法的基础.
- 该数据库可以指导未来的临床试验,并促进药用植物融入临床实践.
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