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Mendeley readers
Chapter title |
In Silico Models for Hepatotoxicity.
|
---|---|
Chapter number | 11 |
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_11 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3607-6, 978-1-4939-3609-0
|
Authors |
Mark Hewitt, Katarzyna Przybylak |
Editors |
Emilio Benfenati |
Abstract |
In this chapter we review the challenges of predicting human hepatotoxicity. Principally, this is our partial understanding of a very complex biochemical system and our ability to emulate that in a predictive capacity. We give an overview of the published modeling approaches in this area to date and discuss their design, strengths, and weaknesses. It is interesting to note the shift during the period of this review in the direction of evidenced-based approaches including structural alerts and pharmacophore models. Proposals on how best to utilize the data emerging from modeling studies are also discussed. |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 24% |
Researcher | 3 | 18% |
Student > Bachelor | 3 | 18% |
Student > Doctoral Student | 2 | 12% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 18% |
Computer Science | 2 | 12% |
Biochemistry, Genetics and Molecular Biology | 2 | 12% |
Mathematics | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 41% |