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Alejandro Aguayo-Orozco

dblp:258/2603 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0003-1828-223XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 56% Environmental and earth informatics · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Environmental and earth informatics
adverse outcome pathway
0.412019
sAOP: linking chemical stressors to adverse outcomes pathway networks · Bioinform. 2019
Bioinformatics and computational biology › genomics
toxicogenomics
0.412019
sAOP: linking chemical stressors to adverse outcomes pathway networks · Bioinform. 2019
Bioinformatics and computational biology › drug discovery
compound prioritization
0.112019
sAOP: linking chemical stressors to adverse outcomes pathway networks · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

toxcast data integration · 0.4network mapping · 0.4
YearPublicationVenuePosition
2019 sAOP: linking chemical stressors to adverse outcomes pathway networks
abstract
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 AND IMPLEMENTATION: sAOP is available at http://saop.cpr.ku.dk. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Alejandro Aguayo-Orozco, Karine Audouze, Troels Siggaard, Robert Barouki, Søren Brunak, Olivier Taboureau
Bioinform.1