背景:根据世界卫生组织,世界上80%以上的人口依赖传统医学。传统医学通常基于使用单一草药或多草药制剂(PHF)来管理疾病。然而,这些制剂可能的作用方式没有得到很好的研究或记录。在过去的几十年里,计算方法已被用于研究单一草药中植物化学物质的分子机制。然而,用于研究PHFs的计算机模拟方法尚不清楚。
目的:本方案的目的是为范围审查制定一种搜索策略,以绘制用于了解全球用作传统药物的PHFs活性的计算机模拟方法。
方法:范围审查将根据Arksey和O\'Malley开发的方法以及JoannaBriggs研究所(JBI)的建议进行。一组预定关键字将用于从五个数据库中识别相关研究:PubMed,Embase,科学直接,WebofScience,谷歌学者。两名独立审稿人将根据纳入和排除标准进行搜索,以得出相关研究的列表。Mendeley版本1.19.8将用于删除重复引用,标题和摘要筛选将与Rayyan软件进行。统一管理的JBI系统,评估,和信息审查工具将用于数据提取。范围审查将根据PRISMA-ScR(系统审查的首选报告项目和范围审查的荟萃分析扩展)指南进行报告。
结果:根据范围审查的核心领域,开发了三步搜索策略。最初的搜索产生了3865项研究。应用过滤器后,875项研究入围进一步审查。进一步完善了关键词,以产生关于该主题的更多相关研究。
结论:这些发现有望确定在PHF中计算方法应用于世界各地任何传统医学的知识差距的程度。该研究可以为与PHFs的植物化学鉴定相关的开放研究问题提供答案,目标识别标准,应用于计算机模拟研究的策略,使用的软件,以及采用计算机方法了解PHF作用机制的挑战。因此,这项研究可以更好地了解用于研究PHF的计算机模拟方法的应用和类型。
■PRR1-10.2196/56646。
BACKGROUND: According to the World Health Organization, more than 80% of the world\'s population relies on traditional medicine. Traditional medicine is typically based on the use of single herbal drugs or polyherbal formulations (PHFs) to manage diseases. However, the probable mode of action of these formulations is not well studied or documented. Over the past few decades, computational methods have been used to study the molecular mechanism of phytochemicals in single herbal drugs. However, the in silico methods applied to study PHFs remain unclear.
OBJECTIVE: The aim of this protocol is to develop a search strategy for a scoping review to map the in silico approaches applied in understanding the activity of PHFs used as traditional medicines worldwide.
METHODS: The scoping review will be conducted based on the methodology developed by Arksey and O\'Malley and the recommendations of the Joanna Briggs Institute (JBI). A set of predetermined keywords will be used to identify the relevant studies from five databases: PubMed, Embase, Science Direct, Web of Science, and Google Scholar. Two independent reviewers will conduct the search to yield a list of relevant studies based on the inclusion and exclusion criteria. Mendeley version 1.19.8 will be used to remove duplicate citations, and title and abstract screening will be performed with Rayyan software. The JBI System for the Unified Management, Assessment, and Review of Information tool will be used for data extraction. The scoping review will be reported based on the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines.
RESULTS: Based on the core areas of the scoping review, a 3-step search strategy was developed. The initial search produced 3865 studies. After applying filters, 875 studies were short-listed for further review. Keywords were further refined to yield more relevant studies on the topic.
CONCLUSIONS: The findings are expected to determine the extent of the knowledge gap in the applications of computational methods in PHFs for any traditional medicine across the world. The study can provide answers to open research questions related to the phytochemical identification of PHFs, criteria for target identification, strategies applied for in silico studies, software used, and challenges in adopting in silico methods for understanding the mechanisms of action of PHFs. This study can thus provide a better understanding of the application and types of in silico methods for investigating PHFs.
UNASSIGNED: PRR1-10.2196/56646.