Literature DB >> 34253739

The 2021 update of the EPA's adverse outcome pathway database.

Holly M Mortensen1, Jonathan Senn2, Trevor Levey2,3, Phillip Langley2,4, Antony J Williams5.   

Abstract

The EPA developed the Adverse Outcome Pathway Database (AOP-DB) to better characterize adverse outcomes of toxicological interest that are relevant to human health and the environment. Here we present the most recent version of the EPA Adverse Outcome Pathway Database (AOP-DB), version 2. AOP-DB v.2 introduces several substantial updates, which include automated data pulls from the AOP-Wiki 2.0, the integration of tissue-gene network data, and human AOP-gene data by population, semantic mapping and SPARQL endpoint creation, in addition to the presentation of the first publicly available AOP-DB web user interface. Potential users of the data may investigate specific molecular targets of an AOP, the relation of those gene/protein targets to other AOPs, cross-species, pathway, or disease-AOP relationships, or frequencies of AOP-related functional variants in particular populations, for example. Version updates described herein help inform new testable hypotheses about the etiology and mechanisms underlying adverse outcomes of environmental and toxicological concern.
© 2021. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Entities:  

Year:  2021        PMID: 34253739     DOI: 10.1038/s41597-021-00962-3

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  23 in total

Review 1.  The adverse outcome pathway concept: A basis for developing regulatory decision-making tools.

Authors:  Nathalie Delrue; Magdalini Sachana; Yuki Sakuratani; Anne Gourmelon; Eeva Leinala; Robert Diderich
Journal:  Altern Lab Anim       Date:  2016-10       Impact factor: 1.303

Review 2.  Validation of Computational Methods.

Authors:  Grace Patlewicz; Andrew P Worth; Nicholas Ball
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

3.  AOP-DB: A database resource for the exploration of Adverse Outcome Pathways through integrated association networks.

Authors:  Maureen E Pittman; Stephen W Edwards; Cataia Ives; Holly M Mortensen
Journal:  Toxicol Appl Pharmacol       Date:  2018-02-14       Impact factor: 4.219

Review 4.  Integrated Approaches to Testing and Assessment: OECD Activities on the Development and Use of Adverse Outcome Pathways and Case Studies.

Authors:  Yuki Sakuratani; Masashi Horie; Eeva Leinala
Journal:  Basic Clin Pharmacol Toxicol       Date:  2018-02-07       Impact factor: 4.080

5.  ConsensusPathDB: toward a more complete picture of cell biology.

Authors:  Atanas Kamburov; Konstantin Pentchev; Hanna Galicka; Christoph Wierling; Hans Lehrach; Ralf Herwig
Journal:  Nucleic Acids Res       Date:  2010-11-11       Impact factor: 16.971

6.  Leveraging human genetic and adverse outcome pathway (AOP) data to inform susceptibility in human health risk assessment.

Authors:  Holly M Mortensen; John Chamberlin; Bonnie Joubert; Michelle Angrish; Nisha Sipes; Janice S Lee; Susan Y Euling
Journal:  Mamm Genome       Date:  2018-02-23       Impact factor: 3.224

7.  New approach for understanding genome variations in KEGG.

Authors:  Minoru Kanehisa; Yoko Sato; Miho Furumichi; Kanae Morishima; Mao Tanabe
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

8.  ConsensusPathDB--a database for integrating human functional interaction networks.

Authors:  Atanas Kamburov; Christoph Wierling; Hans Lehrach; Ralf Herwig
Journal:  Nucleic Acids Res       Date:  2008-10-21       Impact factor: 16.971

9.  Creating a Structured AOP Knowledgebase via Ontology-Based Annotations.

Authors:  Cataia Ives; Ivana Campia; Rong-Lin Wang; Clemens Wittwehr; Stephen Edwards
Journal:  Appl In Vitro Toxicol       Date:  2017-12-01

10.  The Comparative Toxicogenomics Database: update 2017.

Authors:  Allan Peter Davis; Cynthia J Grondin; Robin J Johnson; Daniela Sciaky; Benjamin L King; Roy McMorran; Jolene Wiegers; Thomas C Wiegers; Carolyn J Mattingly
Journal:  Nucleic Acids Res       Date:  2016-09-19       Impact factor: 16.971

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  5 in total

1.  Modernization of chemical risk assessment to make use of novel toxicological data.

Authors: 
Journal:  Toxicol Appl Pharmacol       Date:  2020-03-18       Impact factor: 4.460

2.  The AOP-DB RDF: Applying FAIR Principles to the Semantic Integration of AOP Data Using the Research Description Framework.

Authors:  Holly M Mortensen; Marvin Martens; Jonathan Senn; Trevor Levey; Chris T Evelo; Egon L Willighagen; Thomas Exner
Journal:  Front Toxicol       Date:  2022-02-14

3.  Towards a qAOP framework for predictive toxicology - Linking data to decisions.

Authors:  Alicia Paini; Ivana Campia; Mark T D Cronin; David Asturiol; Lidia Ceriani; Thomas E Exner; Wang Gao; Caroline Gomes; Johannes Kruisselbrink; Marvin Martens; M E Bette Meek; David Pamies; Julia Pletz; Stefan Scholz; Andreas Schüttler; Nicoleta Spînu; Daniel L Villeneuve; Clemens Wittwehr; Andrew Worth; Mirjam Luijten
Journal:  Comput Toxicol       Date:  2022-02

4.  Correlation Analysis of Variables From the Atherosclerosis Risk in Communities Study.

Authors:  Meisha Mandal; Josh Levy; Cataia Ives; Stephen Hwang; Yi-Hui Zhou; Alison Motsinger-Reif; Huaqin Pan; Wayne Huggins; Carol Hamilton; Fred Wright; Stephen Edwards
Journal:  Front Pharmacol       Date:  2022-07-11       Impact factor: 5.988

5.  Risk-Based Prioritization of Organic Chemicals and Locations of Ecological Concern in Sediment From Great Lakes Tributaries.

Authors:  Austin K Baldwin; Steven R Corsi; Owen M Stefaniak; Luke C Loken; Daniel L Villeneuve; Gerald T Ankley; Brett R Blackwell; Peter L Lenaker; Michelle A Nott; Marc A Mills
Journal:  Environ Toxicol Chem       Date:  2022-02-28       Impact factor: 4.218

  5 in total

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