Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.

ABSTRACT: Eye irritation and corrosion are fundamental considerations in developing chemicals to be used in or near the eye, from cleaning products to ophthalmic solutions. Unfortunately, animal testing is currently the standard method to identify compounds that cause eye irritation or corrosion. Yet, there is growing pressure on the part of regulatory agencies both in the USA and abroad to develop New Approach Methodologies (NAMs) that help reduce the need for animal testing and address unmet need to modernize safety evaluation of chemical hazards. In furthering the development and applications of computational NAMs in chemical safety assessment, in this study we have collected the largest expertly curated dataset of compounds tested for eye irritation and corrosion, and employed this data to build

SUBMITTER: Silva AC 

PROVIDER: S-EPMC9355119 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature