| Chapter title |
In Silico Models for Ecotoxicity of Pharmaceuticals.
|
|---|---|
| Chapter number | 12 |
| 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_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3607-6, 978-1-4939-3609-0
|
| Authors |
Kunal Roy, Supratik Kar |
| Editors |
Emilio Benfenati |
| Abstract |
Pharmaceuticals and their active metabolites are one of the significantly emerging environmental toxicants. The major routes of entry of pharmaceuticals into the environment are industries, hospitals, or direct disposal of unwanted or expired drugs made by the patient. The most important and distinct features of pharmaceuticals are that they are deliberately designed to have an explicit mode of action and designed to exert an effect on humans and other living systems. This distinctive feature makes pharmaceuticals and their metabolites different from other chemicals, and this necessitates the evaluation of the direct effects of pharmaceuticals in various environmental compartments as well as to living systems. In this background, the alarming situation of ecotoxicity of diverse pharmaceuticals have forced government and nongovernment regulatory authorities to recommend the application of in silico methods to provide quick information about the risk assessment and fate properties of pharmaceuticals as well as their ecological and indirect human health effects. This chapter aims to offer information regarding occurrence of pharmaceuticals in the environment, their persistence, environmental fate, and toxicity as well as application of in silico methods to provide information about the basic risk management and fate prediction of pharmaceuticals in the environment. Brief ideas about toxicity endpoints, available ecotoxicity databases, and expert systems employed for rapid toxicity predictions of ecotoxicity of pharmaceuticals are also discussed. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bulgaria | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 15% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Master | 4 | 10% |
| Other | 3 | 8% |
| Professor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 16 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 15% |
| Environmental Science | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Engineering | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 16 | 41% |