sAOP: linking chemical stressors to adverse outcomes pathway networks
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sAOP : linking chemical stressors to adverse outcomes pathway networks. / Aguayo-Orozco, Alejandro; Audouze, Karine; Siggaard, Troels; Barouki, Robert; Brunak, Søren; Taboureau, Olivier.
In: Bioinformatics, 2019.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - sAOP
T2 - linking chemical stressors to adverse outcomes pathway networks
AU - Aguayo-Orozco, Alejandro
AU - Audouze, Karine
AU - Siggaard, Troels
AU - Barouki, Robert
AU - Brunak, Søren
AU - Taboureau, Olivier
PY - 2019
Y1 - 2019
N2 - MOTIVATION: Adverse outcome pathway (AOP) is a toxicological concept proposed to provide a mechanistic representation of biological perturbation over different layers of biological organization. Although AOPs are by definition chemical-agnostic, many chemical stressors can putatively interfere with one or several AOPs and such information would be relevant for regulatory decision-making.RESULTS: With the recent development of AOPs networks aiming to facilitate the identification of interactions among AOPs, we developed a stressor-AOP network (sAOP). Using the "cytotoxitiy burst" (CTB) approach, we mapped bioactive compounds from the ToxCast data to a list of AOPs reported in AOP-Wiki database. With this analysis, a variety of relevant connections between chemicals and AOP components can be identified suggesting multiple effects not observed in the simplified "one-biological perturbation to one-adverse outcome" model. The results may assist in the prioritization of chemicals to assess risk-based evaluations in the context of human health.AVAILABILITY: sAOP is available at http://saop.cpr.ku.dk.SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
AB - MOTIVATION: Adverse outcome pathway (AOP) is a toxicological concept proposed to provide a mechanistic representation of biological perturbation over different layers of biological organization. Although AOPs are by definition chemical-agnostic, many chemical stressors can putatively interfere with one or several AOPs and such information would be relevant for regulatory decision-making.RESULTS: With the recent development of AOPs networks aiming to facilitate the identification of interactions among AOPs, we developed a stressor-AOP network (sAOP). Using the "cytotoxitiy burst" (CTB) approach, we mapped bioactive compounds from the ToxCast data to a list of AOPs reported in AOP-Wiki database. With this analysis, a variety of relevant connections between chemicals and AOP components can be identified suggesting multiple effects not observed in the simplified "one-biological perturbation to one-adverse outcome" model. The results may assist in the prioritization of chemicals to assess risk-based evaluations in the context of human health.AVAILABILITY: sAOP is available at http://saop.cpr.ku.dk.SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
U2 - 10.1093/bioinformatics/btz570
DO - 10.1093/bioinformatics/btz570
M3 - Journal article
C2 - 31329252
JO - Computer Applications in the Biosciences
JF - Computer Applications in the Biosciences
SN - 1471-2105
ER -
ID: 227083176