Evidence map›Paper›PMID 30057931›Full record

ArticleApplied in vitro toxicology2017

Creating a Structured AOP Knowledgebase via Ontology-Based Annotations.

Cataia Ives, Ivana Campia, Rong-Lin Wang, Clemens Wittwehr, Stephen Edwards

Abstract read
In one paragraph

Article in Applied in vitro toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Towards a qAOP framework for predictive toxicology - Linking data to decisions.Computational toxicology (Amsterdam, Netherlands) · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Cataia IvesIntegrated Systems Toxicology Division, NHEERL, U.S. Environmental Protection Agency, RTP, NC, USA.
Ivana CampiaEuropean Commission's Joint Research Centre, NERL, U.S. Environmental Protection Agency, Cincinnati, OH, USA.
Rong-Lin WangExposure Methods and Measurements Division, NERL, U.S. Environmental Protection Agency, Cincinnati, OH, USA.
Clemens WittwehrEuropean Commission's Joint Research Centre, NERL, U.S. Environmental Protection Agency, Cincinnati, OH, USA.
Stephen EdwardsIntegrated Systems Toxicology Division, NHEERL, U.S. Environmental Protection Agency, RTP, NC, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

introductionThe 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

methodsHerein, we present a comprehensive annotation of 172 AOPs housed in the AOP-Wiki as of December 4, 2016 using terms from existing biological ontologies.

resultsAOP 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.

Indexed as

Adverse Outcome Pathwaykey eventknowledgebaseontology

Identifiers

PMID30057931
PMCPMC6060416

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.