Computational prediction of toxicity of small organic molecules: state-of-the-art
Abstract
The field of computational prediction of various toxicity end-points has evolved over last two decades significantly. Availability of newer modelling techniques, powerful computational resources and good-quality data have made it possible to generate reliable predictions for new chemical entities, impurities, chemicals, natural products and a lot of other substances. The field is still undergoing metamorphosis to take into account molecular complexities underlying toxicity end-points such as teratogenicity, mutagenicity, carcinogenicity, etc. Expansion of the applicability domain of these predictive models into areas other than life sciences, such as environmental and materials sciences have received a great deal of attention from all walks of life, fuelling further development and growth of the field. The present chapter discusses the state-of-the-art computational prediction of toxicity end-points of small organic molecules to balance the trade-off between the molecular complexity and the quality of such predictions, without compromising their immense utility in many fields.
- Publication:
-
Physical Sciences Reviews
- Pub Date:
- August 2019
- DOI:
- 10.1515/psr-2019-0009
- Bibcode:
- 2019PhSRv...4....9M
- Keywords:
-
- predictive toxicology;
- NCEs;
- mutagenicity;
- carcinogenicity;
- teratogencity;
- environmental toxicity