Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2017 1
2018 1
2019 1
2021 0
Text availability
Article attribute
Article type
Publication date

Search Results

2 results
Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates.
Truong L, Ouedraogo G, Pham L, Clouzeau J, Loisel-Joubert S, Blanchet D, Noçairi H, Setzer W, Judson R, Grulke C, Mansouri K, Martin M. Truong L, et al. Arch Toxicol. 2018 Feb;92(2):587-600. doi: 10.1007/s00204-017-2067-x. Epub 2017 Oct 27. Arch Toxicol. 2018. PMID: 29075892 Free PMC article.
In an effort to address a major challenge in chemical safety assessment, alternative approaches for characterizing systemic effect levels, a predictive model was developed. Systemic effect levels were curated from ToxRefDB, HESS-DB …
In an effort to address a major challenge in chemical safety assessment, alternative approaches for characterizing systemic effect
Quantitative prediction of repeat dose toxicity values using GenRA.
Helman G, Patlewicz G, Shah I. Helman G, et al. Regul Toxicol Pharmacol. 2019 Dec;109:104480. doi: 10.1016/j.yrtph.2019.104480. Epub 2019 Sep 21. Regul Toxicol Pharmacol. 2019. PMID: 31550520
Previously, we developed the generalized read-across (GenRA) tool, which utilizes in vitro bioactivity data in conjunction with chemical descriptor information to derive local validity domains to predict hazards observed in in vivo toxicity studies. Here, we …
Previously, we developed the generalized read-across (GenRA) tool, which utilizes in vitro bioactivity data in conjunction with chemical des …