BIP! Finder - Estimation of the chemical-induced eye injury using a weight-of-evidence (WoE) battery of 21 artificial neural network (ANN) c-QSAR models (QSAR-21): Part I: Irritation potential

2015 • Estimation of the chemical-induced eye injury using a weight-of-evidence (WoE) battery of 21 artificial neural network (ANN) c-QSAR models (QSAR-21): Part I: Irritation potential

Authors: Rajeshwar P. Verma, Edwin J. Matthews

Venue: Regulatory Toxicology and Pharmacology

Type: Publication

Abstract: Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ensure occupational and consumer safety for industrial, household and cosmetic ingredient chemicals. The historical method for evaluating eye irritant and corrosion potential of chemicals is the rabbit Draize test. However, the Draize test is controversial and its use is diminishing - the EU 7th Amendment to the Cosmetic Directive (76/768/EEC) and recast Regulation now bans marketing of new cosmetics having animal testing of their ingredients and... (read more)

Topics: Artificial intelligence Biochemical engineering Machine learning

DOI: 10.1016/j.yrtph.2014.12.004 (Found 2 versions)

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External links: Crossref OpenAIRE

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