U.S. researchers develop algorithm to test toxicity of chemicals without animals

Toxicity testing – or determining the amount of exposure to a chemical that is unsafe for humans – is vital to the safety of millions of workers in various industries. Animal testing, in addition to its ethical concerns, can be too costly and time consuming to test the safety of the thousands of compounds available, according to the authors of a study published in the journal Environmental Health Perspectives. They developed a low-cost, high-speed algorithm computational method to automatically extract useful bioassay data from a public repository (i.e., PubChem) and assess its ability to predict animal toxicity using a novel bioprofile-based read-across approach. The in vitro bioassay data-driven profiling strategy developed meets the needs of computational toxicology in the current big data era and can be extended to develop predictive models for other complex toxicity endpoints. More info: https://ehp.niehs.nih.gov/doi/10.1289/EHP3614