Center for Computational Science, University of Miami, Miami, FL 33136, USA and Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Bioinformatics. 2013 Dec 15;29(24):3211-9. doi: 10.1093/bioinformatics/btt565. Epub 2013 Sep 29.
Novel tools need to be developed to help scientists analyze large amounts of available screening data with the goal to identify entry points for the development of novel chemical probes and drugs. As the largest class of drug targets, G protein-coupled receptors (GPCRs) remain of particular interest and are pursued by numerous academic and industrial research projects.
We report the first GPCR ontology to facilitate integration and aggregation of GPCR-targeting drugs and demonstrate its application to classify and analyze a large subset of the PubChem database. The GPCR ontology, based on previously reported BioAssay Ontology, depicts available pharmacological, biochemical and physiological profiles of GPCRs and their ligands. The novelty of the GPCR ontology lies in the use of diverse experimental datasets linked by a model to formally define these concepts. Using a reasoning system, GPCR ontology offers potential for knowledge-based classification of individuals (such as small molecules) as a function of the data.
The GPCR ontology is available at http://www.bioassayontology.org/bao_gpcr and the National Center for Biomedical Ontologies Web site.
需要开发新的工具来帮助科学家分析大量可用的筛选数据,以确定开发新型化学探针和药物的切入点。作为最大的一类药物靶点,G 蛋白偶联受体(GPCR)仍然是特别关注的对象,并被众多学术和工业研究项目所追求。
我们报告了第一个 GPCR 本体论,以促进 GPCR 靶向药物的整合和聚集,并展示了其在对大型 PubChem 数据库子集进行分类和分析中的应用。该 GPCR 本体论基于先前报道的生物测定学本体论,描述了 GPCR 及其配体的现有药理学、生物化学和生理学特征。GPCR 本体论的新颖之处在于使用多种实验数据集通过模型链接来正式定义这些概念。通过推理系统,GPCR 本体论为基于数据的个体(如小分子)的知识分类提供了可能性。
GPCR 本体论可在 http://www.bioassayontology.org/bao_gpcr 和国家生物医学本体论中心网站上获得。