Acronym | BAO |
Visibility | Public |
Description | The BioAssay Ontology (BAO) describes chemical biology screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis. BAO is an extensible, knowledge-based, highly expressive (currently SHOIQ(D)) description of biological assays making use of descriptive logic based features of the Web Ontology Language (OWL). BAO currently has over 1000 classes and also makes use of several other ontologies. It describes several concepts related to biological screening, including Perturbagen, Format, Meta Target, Design, Detection Technology, and Endpoint. Perturbagens are perturbing agents that are screened in an assay; they are mostly small molecules. Assay Meta Target describes what is known about the biological system and / or its components interrogated in the assay (and influenced by the Perturbagen). Meta target can be directly described as a molecular entity (e.g. a purified protein or a protein complex), or indirectly by a biological process or event (e.g. phosphorylation). Format describes the biological or chemical features common to each test condition in the assay and includes biochemical, cell-based, organism-based, and variations thereof. The assay Design describes the assay methodology and implementation of how the perturbation of the biological system is translated into a detectable signal. Detection Technology relates to the physical method and technical details to detect and record a signal. Endpoints are the final HTS results as they are usually published (such as IC50, percent inhibition, etc.). BAO has been designed to accommodate multiplexed assays. All main BAO components include multiple levels of sub-categories and specification classes, which are linked via object property relationships forming an expressive knowledge-based representation.
生物活性分析本体(BAO)描述化学生物学筛选检测及其结果,包括用于分类检测和数据分析的高通量筛选(HTS)数据。BAO是一种可扩展的、基于知识的、高表达性(目前为SHOIQ(D))的生物检测描述,利用了基于描述逻辑的网络本体语言(OWL)的特点。BAO目前拥有1000多个分类,还利用了其他几个本体。它描述了与生物筛选相关的几个概念,包括扰动剂(Perturbagen)、格式(Format)、元靶标(Meta Target)、设计(Design)、检测技术(Detection Technology)和终点(Endpoint)。扰动剂是在实验中筛选的扰动剂,它们大多是小分子。检测元靶标(Assay Meta Target)描述了实验中检测的生物系统和/或其组分的已知信息(并受扰动剂的影响)。元靶标可直接描述为分子实体(如纯化的蛋白质或蛋白质复合物),或间接通过生物过程或事件(如磷酸化)描述。格式描述检测中每个实验条件所共有的生物或化学特征,包括生化、细胞、生物及其变体。检测设计描述了如何将对生物系统的扰动转化为可检测信号的检测方法及其实施过程。检测技术涉及检测和记录信号的物理方法和技术细节。终点是通常公布的最终HTS结果(如IC50、抑制百分比等)。BAO的设计适用于多重检测。BAO的所有主要组件都包括多层次的子类别和规范分类,这些子类别和规范分类通过对象属性关系连接起来,形成了一种基于知识的表现形式。 |
Status | Production |
Format | OWL |
Contact | Stephan Schurer, sschurer@med.miami.edu |
Categories | English |
No views of BAO available
Classes | 7,700 |
Individuals | 1 |
Properties | 228 |
Maximum depth | 12 |
Maximum number of children | 189 |
Average number of children | 4 |
Classes with a single child | 757 |
Classes with more than 25 children | 35 |
Classes with no definition | 3,934 |
We are still collecting data for this ontology.
No projects using BAO