使用领域排列的上下文分析自动改进领域注释（AIDAN）。
Automated Improvement of Domain ANnotations using context analysis of domain arrangements (AIDAN).
作者信息
Beaussart Francois, Weiner January, Bornberg-Bauer Erich
机构信息
Evolutionary Bioinformatics, Institute for Evolution and Biodiversity, Westfälische Wilhelms University, Schlossplatz 4, D48149 Münster, Germany.
出版信息
Bioinformatics. 2007 Jul 15;23(14):1834-6. doi: 10.1093/bioinformatics/btm240. Epub 2007 May 5.
MOTIVATION
Since protein domains are the units of evolution, databases of domain signatures such as ProDom or Pfam enable both a sensitive and selective sequence analysis. However, manually curated databases have a low coverage and automatically generated ones often miss relationships which have not yet been discovered between domains or cannot display similarities between domains which have drifted apart.
METHODS
We present a tool which makes use of the fact that overall domain arrangements are often conserved. AIDAN (Automated Improvement of Domain ANnotations) identifies potential annotation artifacts and domains which have drifted apart. The underlying database supplements ProDom and is interfaced by a graphical tool allowing the localization of single domain deletions or annotations which have been falsely made by the automated procedure.
AVAILABILITY
http://www.uni-muenster.de/Evolution/ebb/Services/AIDAN.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
动机
由于蛋白质结构域是进化的单位，诸如ProDom或Pfam等结构域特征数据库能够实现灵敏且具选择性的序列分析。然而，人工整理的数据库覆盖范围较低，而自动生成的数据库常常遗漏尚未被发现的结构域之间的关系，或者无法展示已经分化的结构域之间的相似性。
方法
我们展示了一种利用总体结构域排列通常保守这一事实的工具。AIDAN（结构域注释自动改进工具）可识别潜在的注释伪像以及已经分化的结构域。基础数据库对ProDom进行补充，并通过一个图形工具进行连接，该工具允许定位自动程序错误做出的单个结构域缺失或注释。
可用性
http://www.uni-muenster.de/Evolution/ebb/Services/AIDAN。
补充信息
补充数据可在《生物信息学》在线获取。
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