Departments of Chemistry, Molecular Biosciences and the Proteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA.
Proteomics. 2022 Jun;22(11-12):e2100209. doi: 10.1002/pmic.202100209. Epub 2022 Mar 23.
The effectiveness of any proteomics database search depends on the theoretical candidate information contained in the protein database. Unfortunately, candidate entries from protein databases such as UniProt rarely contain all the post-translational modifications (PTMs), disulfide bonds, or endogenous cleavages of interest to researchers. These omissions can limit discovery of novel and biologically important proteoforms. Conversely, searching for a specific proteoform becomes a computationally difficult task for heavily modified proteins. Both situations require updates to the database through user-annotated entries. Unfortunately, manually creating properly formatted UniProt Extensible Markup Language (XML) files is tedious and prone to errors. ProSight Annotator solves these issues by providing a graphical interface for adding user-defined features to UniProt-formatted XML files for better informed proteoform searches. It can be downloaded from http://prosightannotator.northwestern.edu.
任何蛋白质组学数据库搜索的有效性都取决于蛋白质数据库中包含的理论候选信息。不幸的是,蛋白质数据库(如 UniProt)中的候选条目很少包含研究人员感兴趣的所有翻译后修饰(PTMs)、二硫键或内源性切割。这些遗漏会限制对新型和具有生物学意义的蛋白形式的发现。相反,对于经过大量修饰的蛋白质,搜索特定的蛋白形式成为一项计算上具有挑战性的任务。这两种情况都需要通过用户注释条目来更新数据库。不幸的是,手动创建正确格式的 UniProt 可扩展标记语言(XML)文件非常繁琐且容易出错。ProSight Annotator 通过提供一个图形界面来解决这些问题,用于向 UniProt 格式的 XML 文件添加用户定义的特征,以便更好地进行蛋白形式搜索。它可以从 http://prosightannotator.northwestern.edu 下载。