# The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-next-generation-blueprint-of-computational-toxicology-at-the-u-s/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Russell S. Thomas,Tina Bahadori,Timothy J. Buckley,John Cowden,Chad Deisenroth,Kathie L. Dionisio,Jeffrey B. Frithsen,Chris Grulke,Maureen R. Gwinn,Joshua Harrill,Mark Higuchi,Keith A. Houck,Michael F. Hughes,E. Sidney Hunter,Kristin Isaacs,Richard Judson,Thomas B. Knudsen,Jason C. Lambert,Monica Linnenbrink,Todd M. Martin,Seth Newton,Stephanie Padilla,Grace Patlewicz,Katie Paul Friedman,Katherine A. Phillips,Ann M Richard,Reeder Sams,Timothy J. Shafer,R. Woodrow Setzer,Imran Shah,Jane Simmons,Steven O. Simmons,Amar V. Singh,Jon R. Sobus,Mark J. Strynar,Adam Swank,Rogelio Tornero-Valez,Elin M. Ulrich,Daniel L. Villeneuve,John F. Wambaugh,Barbara A. Wetmore,Antony Williams |
| Citations | 368 |
| DOI | 10.1093/toxsci/kfz058 |
| Fields | Computer Science,Environmental Science,Veterinary |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://academic.oup.com/toxsci/article-pdf/169/2/317/31083485/kfz058.pdf |
| OpenAlex ID | https://openalex.org/W2919637418 |
| PMID | 30835285 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Mark J. Strynar](https://scholariq.org/researchers/mark-j-strynar/)

## Paper journal

- [Toxicological Sciences](https://scholariq.org/journals/toxicological-sciences/)

## Paper primary topic

- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)

## Paper topics

- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)
- [Effects and risks of endocrine disrupting chemicals](https://scholariq.org/topics/effects-and-risks-of-endocrine-disrupting-chemicals/)
- [Animal testing and alternatives](https://scholariq.org/topics/animal-testing-and-alternatives/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
