Enzyme and Protein Chemistry, Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Building 224, DK-2800 Kgs. Lyngby, Denmark.
Saint-Hyacinthe Research and Development Centre, Agriculture and Agri-Food Canada, 3600 Casavant Boulevard West, Saint-Hyacinthe, Quebec J2S 8E3, Canada.
Carbohydr Polym. 2019 Feb 1;205:565-570. doi: 10.1016/j.carbpol.2018.10.063. Epub 2018 Oct 28.
The EPS Database (EPS-DB) is a web-based, platform-independent database of bacterial exopolysaccharides (EPSs) providing access to detailed structural, taxonomic, growth conditions, functional properties, genetic, and bibliographic information for EPSs. It is freely available on the Internet as a website at http://www.epsdatabase.com. Several structural data representation schemes are used following the most commonly accepted formats. This guarantees full interoperability with other structural, experimental, and functional databases in the area of glycoscience. The scientific usage of EPS-DB throughout a user-friendly interface is presented with a subsection of the database exemplified by EPSs from lactic acid bacteria.
EPS 数据库(EPS-DB)是一个基于网络的、与平台无关的细菌胞外多糖(EPS)数据库,提供了详细的结构、分类学、生长条件、功能特性、遗传和文献信息访问。它作为一个网站在互联网上免费提供,网址为 http://www.epsdatabase.com。 数据库使用了几种结构数据表示方案,遵循最常用的格式。这保证了与糖科学领域的其他结构、实验和功能数据库的完全互操作性。通过一个示例,展示了通过用户友好的界面对 EPS-DB 的科学使用,该示例来自于乳酸菌的 EPS。