首页    期刊浏览 2024年12月02日 星期一
登录注册

文章基本信息

  • 标题:Wikipedia Chemical Structure Explorer: substructure and similarity searching of molecules from Wikipedia
  • 本地全文:下载
  • 作者:Peter Ertl ; Luc Patiny ; Thomas Sander
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2015
  • 卷号:7
  • 期号:1
  • 页码:10
  • DOI:10.1186/s13321-015-0061-y
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Wikipedia, the world’s largest and most popular encyclopedia is an indispensable source of chemistry information. It contains among others also entries for over 15,000 chemicals including metabolites, drugs, agrochemicals and industrial chemicals. To provide an easy access to this wealth of information we decided to develop a substructure and similarity search tool for chemical structures referenced in Wikipedia. We extracted chemical structures from entries in Wikipedia and implemented a web system allowing structure and similarity searching on these data. The whole search as well as visualization system is written in JavaScript and therefore can run locally within a web page and does not require a central server. The Wikipedia Chemical Structure Explorer is accessible on-line at www.cheminfo.org/wikipedia and is available also as an open source project from GitHub for local installation. The web-based Wikipedia Chemical Structure Explorer provides a useful resource for research as well as for chemical education enabling both researchers and students easy and user friendly chemistry searching and identification of relevant information in Wikipedia. The tool can also help to improve quality of chemical entries in Wikipedia by providing potential contributors regularly updated list of entries with problematic structures. And last but not least this search system is a nice example of how the modern web technology can be applied in the field of cheminformatics. Graphical abstract Wikipedia Chemical Structure Explorer allows substructure and similarity searches on molecules referenced in Wikipedia.
  • 关键词:Wikipedia ; SMILES ; Substructure search ; Similarity search ; Chemical database ; JavaScript
国家哲学社会科学文献中心版权所有