In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity

2021 ◽  
pp. 100187
Author(s):  
Arianna Bassan ◽  
Vinicius M. Alves ◽  
Alexander Amberg ◽  
Lennart T. Anger ◽  
Scott Auerbach ◽  
...  
2021 ◽  
Vol 20 ◽  
pp. 100188 ◽  
Author(s):  
Arianna Bassan ◽  
Vinicius M. Alves ◽  
Alexander Amberg ◽  
Lennart T. Anger ◽  
Lisa Beilke ◽  
...  

2021 ◽  
Vol 20 ◽  
pp. 100191 ◽  
Author(s):  
Raymond R. Tice ◽  
Arianna Bassan ◽  
Alexander Amberg ◽  
Lennart T. Anger ◽  
Marc A. Beal ◽  
...  

2017 ◽  
Vol 19 (3) ◽  
pp. 213-220 ◽  
Author(s):  
Mark T. D. Cronin
Keyword(s):  

An assessment of (Q)SARs to predict acute and chronic ecotoxicity.


2021 ◽  
Author(s):  
G. V. V. Ravi Kumar ◽  
Ken Jones ◽  
Robert Rencher ◽  
Ravi Rajamani ◽  
Michael Schmidt ◽  
...  

2008 ◽  
Vol 14 (1) ◽  
pp. 16-30 ◽  
Author(s):  
Andrew W. Knight ◽  
Louise Birrell ◽  
Richard M. Walmsley

There is a pressing need to develop rapid yet accurate screening assays for the identification of genotoxic liability and for early hazard assessment in drug discovery. The GADD45a-GFP human cell-based genotoxicity assay (GreenScreen HC) has been reformatted to test 12 compounds per 96-well microplate in a higher throughput, automated screening mode and the protocol applied to the analysis of 1266 diverse, pharmacologically active compounds. Testing from a fixed starting concentration of 100 µM and over 3 serial dilutions, the hit rates for genotoxicity (7.3%) and cytotoxicity (33%) endpoints of the assay have been determined in a much wider chemical space than previously reported. The degree of interference from color, autofluorescence, and low solubility has also been assessed. The assay results have been compared to an in silico approach to genotoxicity assessment using Derek for Windows software. Where carcinogenicity data were available, GreenScreen HC demonstrated a higher specificity than in silico methods while identifying genotoxic species that were not highlighted for genotoxic liability in structure-activity relationship software. Higher throughput screening from a fixed, low concentration reduces sensitivity to less potent genotoxins, but the maintenance of the previously reported high specificity is essential in early hazard assessment where misclassification can lead to the needless rejection of potentially useful compounds in drug development. ( Journal of Biomolecular Screening 2009:16-30)


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