In silico toxicology: computational methods for the prediction of chemical toxicity
Owner/Developer: Wiley Interdisciplinary Reviews: Computational Molecular Science
|Country:||United States of America|
Determining the toxicity of chemicals is necessary to identify their harmful effects on humans, animals, plants, or the environment. It is also one of the main steps in drug design. Animal models have been used for a long time for toxicity testing. However, in vivo animal tests are constrained by time, ethical considerations, and financial burden. Therefore, computational methods for estimating the toxicity of chemicals are considered useful. In silico toxicology is one type of toxicity assessment that uses computational methods to analyze, simulate, visualize, or predict the toxicity of chemicals. In silico toxicology aims to complement existing toxicity tests to predict toxicity, prioritize chemicals, guide toxicity tests, and minimize late‐stage failures in drugs design. There are various methods for generating models to predict toxicity endpoints. We provide a comprehensive overview, explain, and compare the strengths and weaknesses of the existing modeling methods and algorithms for toxicity prediction with a particular (but not exclusive) emphasis on computational tools that can implement these methods and refer to expert systems that deploy the prediction models. Finally, we briefly review a number of new research directions in in silico toxicology and provide recommendations for designing in silico models
|Audience:||Scientists - Industry - Researchers|
|User access:||Open access|
|Relevance:||Replacement - Reduction|
|Purpose:||Documentation and information - Toxicological and safety evaluation|
|Technology/Tools:||Non-testing methods (in silico)|
Fant du det du lette etter?Ja, jeg fant det! Nei, jeg fant det ikke!
Takk for din tilbakemelding! Vær oppmerksom på at vi ikke kan kontakte deg hvis ikke du oppgir din epostadresse.
Hva lette du etter?
Gi oss gjerne en tilbakemelding slik at vi kan forbedre informasjonen på siden. På forhånd takk for hjelpen! Vennligst skriv inn din epostadresse hvis du vil ha et svar.Kontakt oss gjerne på e-post hvis du har spørsmål.