Cataia Ives, Ivana Campia, Rong-Lin Wang, Clemens Wittwehr, Stephen Edwards
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Annotation of KEs with ontology classes from fourteen ontologies and controlled vocabularies resulted in a total of 685 KEs being annotated with a total of 809 Event Components. A set of seven conventions resulted, defining the annotation of KEs via Event Components.</p><p><strong>Discussion: </strong>This expanded annotation of AOPs allows computational reasoners to aid in both AOP development and applications. In addition, the incorporation of explicit biological objects will reduce the time required for converting a qualitative AOP description into a conceptual model that can support computational modeling. As high throughput genomics becomes a more important part of the high throughput toxicity testing landscape, the new approaches described here for annotating key events will also promote the visualization and analysis of genomics data in an AOP context.</p>","PeriodicalId":37448,"journal":{"name":"Applied In Vitro Toxicology","volume":"3 4","pages":"298-311"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/aivt.2017.0017","citationCount":"48","resultStr":"{\"title\":\"Creating a Structured AOP Knowledgebase via Ontology-Based Annotations.\",\"authors\":\"Cataia Ives, Ivana Campia, Rong-Lin Wang, Clemens Wittwehr, Stephen Edwards\",\"doi\":\"10.1089/aivt.2017.0017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The Adverse Outcome Pathway framework is increasingly used to integrate data generated based on traditional and emerging toxicity testing paradigms. As the number of AOP descriptions has increased, so has the need to define the AOP in computable terms.</p><p><strong>Materials and methods: </strong>Herein, we present a comprehensive annotation of 172 AOPs housed in the AOP-Wiki as of December 4, 2016 using terms from existing biological ontologies.</p><p><strong>Results: </strong>AOP Key Events (KEs) were assigned ontology terms using a concept called the Event Component, which consists of a Process, an Object, and an Action term, with each term originating from ontologies and other controlled vocabularies. Annotation of KEs with ontology classes from fourteen ontologies and controlled vocabularies resulted in a total of 685 KEs being annotated with a total of 809 Event Components. A set of seven conventions resulted, defining the annotation of KEs via Event Components.</p><p><strong>Discussion: </strong>This expanded annotation of AOPs allows computational reasoners to aid in both AOP development and applications. In addition, the incorporation of explicit biological objects will reduce the time required for converting a qualitative AOP description into a conceptual model that can support computational modeling. As high throughput genomics becomes a more important part of the high throughput toxicity testing landscape, the new approaches described here for annotating key events will also promote the visualization and analysis of genomics data in an AOP context.</p>\",\"PeriodicalId\":37448,\"journal\":{\"name\":\"Applied In Vitro Toxicology\",\"volume\":\"3 4\",\"pages\":\"298-311\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1089/aivt.2017.0017\",\"citationCount\":\"48\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied In Vitro Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1089/aivt.2017.0017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Health Professions\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied In Vitro Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/aivt.2017.0017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Health Professions","Score":null,"Total":0}
Creating a Structured AOP Knowledgebase via Ontology-Based Annotations.
Introduction: The Adverse Outcome Pathway framework is increasingly used to integrate data generated based on traditional and emerging toxicity testing paradigms. As the number of AOP descriptions has increased, so has the need to define the AOP in computable terms.
Materials and methods: Herein, we present a comprehensive annotation of 172 AOPs housed in the AOP-Wiki as of December 4, 2016 using terms from existing biological ontologies.
Results: AOP Key Events (KEs) were assigned ontology terms using a concept called the Event Component, which consists of a Process, an Object, and an Action term, with each term originating from ontologies and other controlled vocabularies. Annotation of KEs with ontology classes from fourteen ontologies and controlled vocabularies resulted in a total of 685 KEs being annotated with a total of 809 Event Components. A set of seven conventions resulted, defining the annotation of KEs via Event Components.
Discussion: This expanded annotation of AOPs allows computational reasoners to aid in both AOP development and applications. In addition, the incorporation of explicit biological objects will reduce the time required for converting a qualitative AOP description into a conceptual model that can support computational modeling. As high throughput genomics becomes a more important part of the high throughput toxicity testing landscape, the new approaches described here for annotating key events will also promote the visualization and analysis of genomics data in an AOP context.
期刊介绍:
Applied In Vitro Toxicology is a peer-reviewed journal providing the latest research on the application of alternative in vitro testing methods for predicting adverse effects in the pharmaceutical, chemical, and personal care industries. This Journal aims to address important issues facing the various chemical industries, including regulatory requirements; the reduction, refinement, and replacement of animal testing; new screening methods; evaluation of new cell and tissue models; and the most appropriate methods for assessing safety and satisfying regulatory demands. The Journal also delivers the latest views and opinions of developers of new models, end users of the models, academic laboratories that are inventing new tools, and regulatory agencies in the United States, Europe, Latin America, Australia and Asia. Applied In Vitro Toxicology is the journal that scientists involved with hazard identification and risk assessment will read to understand how new and existing in vitro methods are applied, and the questions for which these models provide answers. Applied In Vitro Toxicology coverage includes: -Applied in vitro toxicology industry standards -New technologies developed for applied in vitro toxicology -Data acquisition, cleaning, distribution, and best practices -Data protection, privacy, and policy -Business interests from research to product -The changing role of in vitro toxicology -Visualization and design principles of applied in vitro toxicology infrastructures -Physical interfaces and robotics -Opportunities around applied in vitro toxicology