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Mendeley readers
Chapter title |
Use of Read-Across Tools.
|
---|---|
Chapter number | 13 |
Book title |
In Silico Methods for Predicting Drug Toxicity
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3609-0_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3607-6, 978-1-4939-3609-0
|
Authors |
Serena Manganelli, Emilio Benfenati |
Editors |
Emilio Benfenati |
Abstract |
Read-across has become popular since the introduction of regulations, such as the European REACH regulation. This chapter provides instructions on how to use ToxRead, new freely available software for read-across analysis, and on how to interpret its output predictions for mutagenicity assessments.This tool offers two seminal sources: a set of rules/structural alerts, which may explain the toxicity, and a similarity tool, associated with a large database of chemicals with their properties. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Bulgaria | 1 | 9% |
Unknown | 10 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 55% |
Other | 2 | 18% |
Student > Bachelor | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Unknown | 1 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 2 | 18% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 18% |
Agricultural and Biological Sciences | 1 | 9% |
Computer Science | 1 | 9% |
Chemistry | 1 | 9% |
Other | 0 | 0% |
Unknown | 4 | 36% |