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Mendeley readers
| Chapter title |
The Use of In Silico Models Within a Large Pharmaceutical Company.
|
|---|---|
| Chapter number | 20 |
| 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_20 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3607-6, 978-1-4939-3609-0
|
| Authors |
Alessandro Brigo, Wolfgang Muster |
| Editors |
Emilio Benfenati |
| Abstract |
The present contribution describes how in silico models are applied at different stages of the drug discovery process in the pharmaceutical industry. A thorough description of the most relevant computational methods and tools is given along with an in-depth evaluation of their performance in the context of potential genotoxic impurities assessment.The challenges of predicting the outcome of highly complex studies are discussed followed by considerations on how novel ways to manage, store, share and analyze data may advance knowledge and facilitate modeling efforts. |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bulgaria | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 33% |
| Researcher | 2 | 33% |
| Student > Master | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 2 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 17% |
| Computer Science | 1 | 17% |
| Mathematics | 1 | 17% |
| Unknown | 1 | 17% |