An extension of the BioAssay Ontology to include pharmacokinetic/pharmacodynamic terminology for the enrichment of scientific workflows.
An extension of the BioAssay Ontology to include pharmacokinetic/pharmacodynamic terminology for the enrichment of scientific workflows.
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DOI：
10.1186/s13326-023-00288-6
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发表时间：
2023-08-11
影响因子：
1.9
通讯作者：
中科院分区：
文献类型：
--
作者：
随着以电子方式产生和记录数据的能力，科学研究及其相关数据以前所未有的速度增长。然而，尽管现在以电子形式存在相当数量的数据，但科学研究仍然普遍以非结构化文本格式记录，上下文（词汇表）不一致，这大大降低了直接智能分析的潜力。研究表明，使用本体论等语义技术来构建和丰富科学数据可以大大提高这一潜力。然而，虽然有许多本体可以用于此目的，但仍然有大量的科学术语没有足够的语义表示。作者确定的一个关键扩展领域是药代动力学/药效学（PK/PD）领域，因为其在制药的许多领域中使用率很高。因此，我们已经产生了一组这些术语和其他生物测定相关术语，以纳入生物测定本体论（BAO），这被确定为这项工作的最相关的本体论。该领域专家开发的一些用例被用来演示如何使用这些新的本体术语，并为继续这项工作奠定基础，以期将这项工作扩展到其他相关领域。本文所做的工作是SEED项目（语义丰富电子实验室笔记本（eLN）数据）第一阶段的一部分。
With the capacity to produce and record data electronically, Scientific research and the data associated with it have grown at an unprecedented rate. However, despite a decent amount of data now existing in an electronic form, it is still common for scientific research to be recorded in an unstructured text format with inconsistent context (vocabularies) which vastly reduces the potential for direct intelligent analysis. Research has demonstrated that the use of semantic technologies such as ontologies to structure and enrich scientific data can greatly improve this potential. However, whilst there are many ontologies that can be used for this purpose, there is still a vast quantity of scientific terminology that does not have adequate semantic representation. A key area for expansion identified by the authors was the pharmacokinetic/pharmacodynamic (PK/PD) domain due to its high usage across many areas of Pharma. As such we have produced a set of these terms and other bioassay related terms to be incorporated into the BioAssay Ontology (BAO), which was identified as the most relevant ontology for this work. A number of use cases developed by experts in the field were used to demonstrate how these new ontology terms can be used, and to set the scene for the continuation of this work with a look to expanding this work out into further relevant domains. The work done in this paper was part of Phase 1 of the SEED project (Semantically Enriching electronic laboratory notebook (eLN) Data).
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影响因子：
46.9
作者：
Smith, Barry;Ashburner, Michael;Lewis, Suzanna
通讯作者：
Lewis, Suzanna
影响因子：
8.6
作者：
Kanza, Samantha;Gibbins, Nicholas;Frey, Jeremy G.
通讯作者：
Frey, Jeremy G.
影响因子：
1.9
作者：
Abeyruwan S;Vempati UD;Küçük-McGinty H;Visser U;Koleti A;Mir A;Sakurai K;Chung C;Bittker JA;Clemons PA;Brudz S;Siripala A;Morales AJ;Romacker M;Twomey D;Bureeva S;Lemmon V;Schürer SC
通讯作者：
Schürer SC
影响因子：
11.5
作者：
Kinders, Robert;Ferry-Galow, Kate;Parchment, Ralph E.
通讯作者：
Parchment, Ralph E.
DOI：
10.1093/bioinformatics/btq099
发表时间：
2010-04-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Malone J;Holloway E;Adamusiak T;Kapushesky M;Zheng J;Kolesnikov N;Zhukova A;Brazma A;Parkinson H
通讯作者：
Parkinson H