Cargando…
Use of Cell Viability Assay Data Improves the Prediction Accuracy of Conventional Quantitative Structure–Activity Relationship Models of Animal Carcinogenicity
BACKGROUND: To develop efficient approaches for rapid evaluation of chemical toxicity and human health risk of environmental compounds, the National Toxicology Program (NTP) in collaboration with the National Center for Chemical Genomics has initiated a project on high-throughput screening (HTS) of...
Autores principales: | Zhu, Hao, Rusyn, Ivan, Richard, Ann, Tropsha, Alexander |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
National Institute of Environmental Health Sciences
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2291015/ https://www.ncbi.nlm.nih.gov/pubmed/18414635 http://dx.doi.org/10.1289/ehp.10573 |
Ejemplares similares
-
Use of in Vitro HTS-Derived Concentration–Response Data as Biological Descriptors Improves the Accuracy of QSAR Models of in Vivo Toxicity
por: Sedykh, Alexander, et al.
Publicado: (2011) -
A Novel Two-Step Hierarchical Quantitative Structure–Activity Relationship Modeling Work Flow for Predicting Acute Toxicity of Chemicals in Rodents
por: Zhu, Hao, et al.
Publicado: (2009) -
Conditional Toxicity Value (CTV) Predictor: An In Silico Approach for Generating Quantitative Risk Estimates for Chemicals
por: Wignall, Jessica A., et al.
Publicado: (2018) -
Data-Driven Quantitative
Structure–Activity
Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure
por: Chung, Elena, et al.
Publicado: (2023) -
Extrapolation of animal carcinogenicity data: limitations and pitfalls.
por: Hogan, M D
Publicado: (1983)