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Mendeley readers
Chapter title |
Nontest Methods to Predict Acute Toxicity: State of the Art for Applications of In Silico Methods
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Chapter number | 24 |
Book title |
Computational Toxicology
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Published in |
Methods in molecular biology, January 2018
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DOI | 10.1007/978-1-4939-7899-1_24 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7898-4, 978-1-4939-7899-1
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Authors |
Ronan Bureau, Bureau, Ronan |
Abstract |
The assessment of acute toxicity of chemicals by in silico methods is actually done by two methodologies, read-across and QSAR. The two approaches are strongly based on the similarity between the chemical for which a risk assessment is required and the reference chemical(s) for which the experimental data are known. Here, we describe the two methodologies with some main publications as illustrations and the in silico data associated with acute toxicity endpoints (ECHA, REACH) accessible via eChemPortal. |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 40% |
Student > Bachelor | 1 | 20% |
Researcher | 1 | 20% |
Student > Postgraduate | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 1 | 20% |
Chemistry | 1 | 20% |
Unknown | 3 | 60% |