GOAnnotator: linking protein GO annotations to evidence text.
GOAnnotator: linking protein GO annotations to evidence text.
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Goannotator：将蛋白质GO注释与证据文本联系起来。
DOI：
10.1186/1747-5333-1-19
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发表时间：
2006-12-20
期刊：
影响因子：
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通讯作者：
Rebholz-Schuhmann, Dietrich
中科院分区：
文献类型：
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作者：
Couto, Francisco M;Silva, Mario J;Lee, Vivian;Dimmer, Emily;Camon, Evelyn;Apweiler, Rolf;Kirsch, Harald;Rebholz-Schuhmann, Dietrich
用基因本体（GO）术语对蛋白质进行注释是一项正在进行的工作，也是一项复杂的任务。手动GO标注精确而宝贵，但耗时。因此，大多数蛋白质都带有自动生成的未经策划的注释，而不是策划的注释。文本挖掘系统，使用文献的自动注释已被提出，但他们不满足馆长的高质量的期望。在本文中，我们描述了一种方法，链接未经策划的注释从文献中提取的文本。文本的选择基于文本与来自未策划的注释的术语的相似性。除了充实未经策划的注释，提取的文本也导致新的注释。此外，该方法使用GO层次结构来实现高精度。我们的方法被集成到GOAnnotator中，这是一种辅助UniProt蛋白GO注释的管理过程的工具。GO策展人用一组66种不同的UniProt/SwissProt蛋白质评估了GOAnnotator，这些蛋白质具有未经策划的注释。GOAnnotator以93%的精度提供了正确的证据文本。这种高精度是由于使用GO层次结构仅选择与来自果阿中的未经策划的注释的GO术语类似的GO术语。我们的方法是第一个实现高精度的方法，这对于GO策展人的有效支持至关重要。GOAnnotator是作为一个Web工具实现的，可以在。
Annotation of proteins with gene ontology (GO) terms is ongoing work and a complex task. Manual GO annotation is precise and precious, but it is time-consuming. Therefore, instead of curated annotations most of the proteins come with uncurated annotations, which have been generated automatically. Text-mining systems that use literature for automatic annotation have been proposed but they do not satisfy the high quality expectations of curators. In this paper we describe an approach that links uncurated annotations to text extracted from literature. The selection of the text is based on the similarity of the text to the term from the uncurated annotation. Besides substantiating the uncurated annotations, the extracted texts also lead to novel annotations. In addition, the approach uses the GO hierarchy to achieve high precision. Our approach is integrated into GOAnnotator, a tool that assists the curation process for GO annotation of UniProt proteins. The GO curators assessed GOAnnotator with a set of 66 distinct UniProt/SwissProt proteins with uncurated annotations. GOAnnotator provided correct evidence text at 93% precision. This high precision results from using the GO hierarchy to only select GO terms similar to GO terms from uncurated annotations in GOA. Our approach is the first one to achieve high precision, which is crucial for the efficient support of GO curators. GOAnnotator was implemented as a web tool that is freely available at .