Suppr超能文献

蕨类民族药用植物数据库:探索用于计算药物发现的蕨类民族药用植物知识

FERN Ethnomedicinal Plant Database: Exploring Fern Ethnomedicinal Plants Knowledge for Computational Drug Discovery.

作者信息

Thakar Sambhaji B, Ghorpade Pradnya N, Kale Manisha V, Sonawane Kailas D

机构信息

Structural Bioinformatics Unit Department of Biochemistry, Shivaji University, Kolhapur 416 004, Maharashtra (M.S.), India.

出版信息

Curr Comput Aided Drug Des. 2015;11(3):266-71. doi: 10.2174/1573409911666151103114738.

Abstract

Fern plants are known for their ethnomedicinal applications. Huge amount of fern medicinal plants information is scattered in the form of text. Hence, database development would be an appropriate endeavor to cope with the situation. So by looking at the importance of medicinally useful fern plants, we developed a web based database which contains information about several group of ferns, their medicinal uses, chemical constituents as well as protein/enzyme sequences isolated from different fern plants. Fern ethnomedicinal plant database is an all-embracing, content management web-based database system, used to retrieve collection of factual knowledge related to the ethnomedicinal fern species. Most of the protein/enzyme sequences have been extracted from NCBI Protein sequence database. The fern species, family name, identification, taxonomy ID from NCBI, geographical occurrence, trial for, plant parts used, ethnomedicinal importance, morphological characteristics, collected from various scientific literatures and journals available in the text form. NCBI's BLAST, InterPro, phylogeny, Clustal W web source has also been provided for the future comparative studies. So users can get information related to fern plants and their medicinal applications at one place. This Fern ethnomedicinal plant database includes information of 100 fern medicinal species. This web based database would be an advantageous to derive information specifically for computational drug discovery, botanists or botanical interested persons, pharmacologists, researchers, biochemists, plant biotechnologists, ayurvedic practitioners, doctors/pharmacists, traditional medicinal users, farmers, agricultural students and teachers from universities as well as colleges and finally fern plant lovers. This effort would be useful to provide essential knowledge for the users about the adventitious applications for drug discovery, applications, conservation of fern species around the world and finally to create social awareness.

摘要

蕨类植物因其民族药用价值而闻名。大量的蕨类药用植物信息以文本形式分散存在。因此,开发数据库将是应对这种情况的合适举措。鉴于药用蕨类植物的重要性,我们开发了一个基于网络的数据库,其中包含有关几类蕨类植物的信息、它们的药用用途、化学成分以及从不同蕨类植物中分离出的蛋白质/酶序列。蕨类民族药用植物数据库是一个全面的、基于网络的内容管理数据库系统,用于检索与民族药用蕨类物种相关的事实性知识集合。大多数蛋白质/酶序列已从NCBI蛋白质序列数据库中提取。蕨类物种、科名、鉴定、来自NCBI的分类学ID、地理分布、试用情况、使用的植物部位、民族药用重要性、形态特征等信息均来自各种以文本形式存在的科学文献和期刊。还提供了NCBI的BLAST、InterPro、系统发育、Clustal W网络资源,以供未来进行比较研究。这样用户可以在一个地方获取与蕨类植物及其药用应用相关的信息。这个蕨类民族药用植物数据库包含100种蕨类药用物种的信息。这个基于网络的数据库对于专门获取计算药物发现信息、植物学家或对植物感兴趣的人、药理学家、研究人员、生物化学家、植物生物技术专家、阿育吠陀从业者、医生/药剂师、传统药用使用者、农民、大学及学院的农业学生和教师以及蕨类植物爱好者来说将是有益的。这项工作将有助于为用户提供有关药物发现的偶然应用、世界各地蕨类物种的应用和保护的基本知识,并最终提高社会意识。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验