Burek Patryk, Hoehndorf Robert, Loebe Frank, Visagie Johann, Herre Heinrich, Kelso Janet
Department of Computer Science, Faculty of Mathematics and Computer Science, University of Leipzig, Augustusplatz 10-11, 04109 Leipzig.
Bioinformatics. 2006 Jul 15;22(14):e66-73. doi: 10.1093/bioinformatics/btl266.
A clear understanding of functions in biology is a key component in accurate modelling of molecular, cellular and organismal biology. Using the existing biomedical ontologies it has been impossible to capture the complexity of the community's knowledge about biological functions.
We present here a top-level ontological framework for representing knowledge about biological functions. This framework lends greater accuracy, power and expressiveness to biomedical ontologies by providing a means to capture existing functional knowledge in a more formal manner. An initial major application of the ontology of functions is the provision of a principled way in which to curate functional knowledge and annotations in biomedical ontologies. Further potential applications include the facilitation of ontology interoperability and automated reasoning. A major advantage of the proposed implementation is that it is an extension to existing biomedical ontologies, and can be applied without substantial changes to these domain ontologies.
The Ontology of Functions (OF) can be downloaded in OWL format from http://onto.eva.mpg.de/. Additionally, a UML profile and supplementary information and guides for using the OF can be accessed from the same website.
清晰理解生物学中的功能是准确建模分子、细胞和生物体生物学的关键组成部分。利用现有的生物医学本体,无法捕捉该领域关于生物学功能的知识的复杂性。
我们在此提出一个用于表示生物学功能知识的顶级本体框架。该框架通过提供一种以更形式化的方式捕捉现有功能知识的手段,提高了生物医学本体的准确性、能力和表达力。功能本体的一个初步主要应用是提供一种有原则的方法来整理生物医学本体中的功能知识和注释。进一步的潜在应用包括促进本体的互操作性和自动化推理。所提出的实现方式的一个主要优点是它是对现有生物医学本体的扩展,并且可以在不对这些领域本体进行重大更改的情况下应用。
功能本体(OF)可以从http://onto.eva.mpg.de/以OWL格式下载。此外,可从同一网站访问UML概要文件以及使用OF的补充信息和指南。