Big Data and Innovative Software Help ANGUS Develop New Products
BUFFALO GROVE, IL – Introducing a new chemistry into the market can be an inherently long process, and one beset with challenges, especially in assessing risks associated with chemical exposure, which can take years and cost millions of dollars. This, together with increasing pressure from consumer and advocacy groups on reducing or eliminating traditional animal testing, can make investment in new chemistries unappealing to business leaders and investors, despite the potential for opening doors to new growth opportunities.
ANGUS Chemical Co., a leading global manufacturer and marketer of specialty and fine chemicals, is turning to big data and the use of UL’s Cheminformatics suite, which includes REACHAcross™, a predictive toxicology tool from UL’s Product Supply Chain Intelligence division (PSI), to enhance its ability to evaluate safety early in the product development process. REACHAcross provides a digital alternative to animal testing, and combines the best of quantitative structure–activity relationship (QSAR) and read-across approaches to predict the chemical toxicity of substances to comply with global chemical regulations and new chemical development.