Douglas Shawn M, Montelione Gaetano T, Gerstein Mark
Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.
Genome Biol. 2005;6(9):R80. doi: 10.1186/gb-2005-6-9-r80. Epub 2005 Aug 16.
We have developed PubNet, a web-based tool that extracts several types of relationships returned by PubMed queries and maps them into networks, allowing for graphical visualization, textual navigation, and topological analysis. PubNet supports the creation of complex networks derived from the contents of individual citations, such as genes, proteins, Protein Data Bank (PDB) IDs, Medical Subject Headings (MeSH) terms, and authors. This feature allows one to, for example, examine a literature derived network of genes based on functional similarity.
我们开发了PubNet，这是一个基于网络的工具，它提取PubMed查询返回的几种类型的关系并将其映射到网络中，从而实现图形可视化、文本导航和拓扑分析。PubNet支持创建从单个文献内容派生的复杂网络，如基因、蛋白质、蛋白质数据库（PDB）ID、医学主题词（MeSH）术语和作者。例如，此功能使人们能够基于功能相似性检查由文献派生的基因网络。
