Artikel

Accelerating Adverse Outcome Pathway Development Using Publicly Available Data Sources

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AbstractThe adverse outcome pathway (AOP) concept links molecular perturbations with organism and population-level outcomes to support high-throughput toxicity (HTT) testing. International efforts are underway to define AOPs and store the information supporting theseAOPs in a central knowledge base; however, this process is currently labor-intensive and time-consuming. Publicly available data sources provide a wealth of information that could be used to define computa-tionally predicted AOPs (cpAOPs), which could serve as a basis for creating expert-derived AOPs in a much more effi-cient way. Computational tools for mining large datasets pro-vide the means for extracting and organizing the information captured in these public data sources. Using cpAOPs as a starting point for expert-derived AOPs should accelerate AOP development. Coupling this with tools to coordinate and facilitate the expert development efforts will increase the number and quality of AOPs produced, which should play a key role in advancing the adoption of HTT testing, thereby reducing the use of animals in toxicity testing and greatly increasing the number of chemicals that can be tested.

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Informasi Detail

Judul Seri

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No. Panggil

Artikel

Penerbit

USA : Springer., 2016

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

DOI 10.1007/s40572-0

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Curr Envir Health Rpt (2016) 3:53–63

Subjek

Medicine
Outcome Pathway

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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