Literature DB >> 31340180

ToxRefDB version 2.0: Improved utility for predictive and retrospective toxicology analyses.

Sean Watford1, Ly Ly Pham2, Jessica Wignall3, Robert Shin3, Matthew T Martin4, Katie Paul Friedman5.   

Abstract

The Toxicity Reference Database (ToxRefDB) structures information from over 5000 in vivo toxicity studies, conducted largely to guidelines or specifications from the US Environmental Protection Agency and the National Toxicology Program, into a public resource for training and validation of predictive models. Herein, ToxRefDB version 2.0 (ToxRefDBv2) development is described. Endpoints were annotated (e.g. required, not required) according to guidelines for subacute, subchronic, chronic, developmental, and multigenerational reproductive designs, distinguishing negative responses from untested. Quantitative data were extracted, and dose-response modeling for nearly 28,000 datasets from nearly 400 endpoints using Benchmark Dose (BMD) Modeling Software were generated and stored. Implementation of controlled vocabulary improved data quality; standardization to guideline requirements and cross-referencing with United Medical Language System (UMLS) connects ToxRefDBv2 observations to vocabularies linked to UMLS, including PubMed medical subject headings. ToxRefDBv2 allows for increased connections to other resources and has greatly enhanced quantitative and qualitative utility for predictive toxicology.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  In vivo toxicology; Predictive toxicology; Toxicology database

Mesh:

Substances:

Year:  2019        PMID: 31340180      PMCID: PMC6944327          DOI: 10.1016/j.reprotox.2019.07.012

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  55 in total

1.  Evaluation of subchronic toxicity data using the benchmark dose approach.

Authors:  L A Gephart; W F Salminen; M J Nicolich; M Pelekis
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2.  Toxicology. Transforming environmental health protection.

Authors:  Francis S Collins; George M Gray; John R Bucher
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3.  Challenges in using the ToxRefDB as a resource for toxicity prediction modeling.

Authors:  Laura M Plunkett; A Michael Kaplan; Richard A Becker
Journal:  Regul Toxicol Pharmacol       Date:  2015-05-21       Impact factor: 3.271

4.  tcpl: the ToxCast pipeline for high-throughput screening data.

Authors:  Dayne L Filer; Parth Kothiya; R Woodrow Setzer; Richard S Judson; Matthew T Martin
Journal:  Bioinformatics       Date:  2017-02-15       Impact factor: 6.937

5.  Retrospective mining of toxicology data to discover multispecies and chemical class effects: Anemia as a case study.

Authors:  Richard S Judson; Matthew T Martin; Grace Patlewicz; Charles E Wood
Journal:  Regul Toxicol Pharmacol       Date:  2017-02-24       Impact factor: 3.271

Review 6.  The Potential of Adaptive Design in Animal Studies.

Authors:  Arshad Majid; Ok-Nam Bae; Jessica Redgrave; Dawn Teare; Ali Ali; Daniel Zemke
Journal:  Int J Mol Sci       Date:  2015-10-12       Impact factor: 5.923

7.  Value of shared preclinical safety studies - The eTOX database.

Authors:  Katharine Briggs; Chris Barber; Montserrat Cases; Philippe Marc; Thomas Steger-Hartmann
Journal:  Toxicol Rep       Date:  2014-12-18

8.  Standardisation of defined approaches for skin sensitisation testing to support regulatory use and international adoption: position of the International Cooperation on Alternative Test Methods.

Authors:  S Casati; K Aschberger; J Barroso; W Casey; I Delgado; T S Kim; N Kleinstreuer; H Kojima; J K Lee; A Lowit; H K Park; M J Régimbald-Krnel; J Strickland; M Whelan; Y Yang; Valérie Zuang
Journal:  Arch Toxicol       Date:  2017-11-10       Impact factor: 5.153

9.  CEBS: a comprehensive annotated database of toxicological data.

Authors:  Isabel A Lea; Hui Gong; Anand Paleja; Asif Rashid; Jennifer Fostel
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

10.  Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates.

Authors:  Lisa Truong; Gladys Ouedraogo; LyLy Pham; Jacques Clouzeau; Sophie Loisel-Joubert; Delphine Blanchet; Hicham Noçairi; Woodrow Setzer; Richard Judson; Chris Grulke; Kamel Mansouri; Matthew Martin
Journal:  Arch Toxicol       Date:  2017-10-27       Impact factor: 5.153

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  22 in total

Review 1.  Developing novel in vitro methods for the risk assessment of developmental and placental toxicants in the environment.

Authors:  Rebecca C Fry; Jacqueline Bangma; John Szilagyi; Julia E Rager
Journal:  Toxicol Appl Pharmacol       Date:  2019-06-22       Impact factor: 4.219

Review 2.  Progress in data interoperability to support computational toxicology and chemical safety evaluation.

Authors:  Sean Watford; Stephen Edwards; Michelle Angrish; Richard S Judson; Katie Paul Friedman
Journal:  Toxicol Appl Pharmacol       Date:  2019-08-09       Impact factor: 4.219

3.  Extending the Generalised Read-Across approach (GenRA): A systematic analysis of the impact of physicochemical property information on read-across performance.

Authors:  George Helman; Imran Shah; Grace Patlewicz
Journal:  Comput Toxicol       Date:  2018

4.  Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels.

Authors:  Ly Ly Pham; Sean Watford; Prachi Pradeep; Matthew T Martin; Russell Thomas; Richard Judson; R Woodrow Setzer; Katie Paul Friedman
Journal:  Comput Toxicol       Date:  2020-08-01

5.  Python BMDS: A Python interface library and web application for the canonical EPA dose-response modeling software.

Authors:  Ly Ly Pham; Sean Watford; Katie Paul Friedman; Jessica Wignall; Andrew J Shapiro
Journal:  Reprod Toxicol       Date:  2019-08-12       Impact factor: 3.143

6.  Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics.

Authors:  Lauren E Koval; Kathie L Dionisio; Katie Paul Friedman; Kristin K Isaacs; Julia E Rager
Journal:  J Expo Sci Environ Epidemiol       Date:  2022-06-16       Impact factor: 5.563

7.  In Silico Models for Repeated-Dose Toxicity (RDT): Prediction of the No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs.

Authors:  Fabiola Pizzo; Domenico Gadaleta; Emilio Benfenati
Journal:  Methods Mol Biol       Date:  2022

8.  Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study.

Authors:  Matthew Boyce; Brian Meyer; Chris Grulke; Lucina Lizarraga; Grace Patlewicz
Journal:  Comput Toxicol       Date:  2022-02-01

9.  Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches.

Authors:  Kevin M Crofton; Arianna Bassan; Mamta Behl; Yaroslav G Chushak; Ellen Fritsche; Jeffery M Gearhart; Mary Sue Marty; Moiz Mumtaz; Manuela Pavan; Patricia Ruiz; Magdalini Sachana; Rajamani Selvam; Timothy J Shafer; Lidiya Stavitskaya; David T Szabo; Steven T Szabo; Raymond R Tice; Dan Wilson; David Woolley; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2022-03-17

10.  Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high-throughput toxicokinetics.

Authors:  Caroline Ring; Nisha S Sipes; Jui-Hua Hsieh; Celeste Carberry; Lauren E Koval; William D Klaren; Mark A Harris; Scott S Auerbach; Julia E Rager
Journal:  Comput Toxicol       Date:  2021-03-19
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