Oral Presentations Session IV-1: Predictive Safety Approaches: Role in the Design of Inherently Safer Chemicals

A new predictive toxicology tool, REACHAcross, a collaboration between UL and researchers from Johns Hopkins University, will contribute strongly to reduced animal use. REACHAcross was initially created using the publically available toxicology data from nearly 10,000 chemicals registered under REACH and has since been expanded to include toxicology data from other public databases. This highly dense chemical map allows finding similar molecules for most structures. The biological data available in these datasets combined with in vivo endpoints from REACH represent an enormous modeling potential: both chemical and biological similarity can be used to interpolate properties of structures. This approach is based strictly on the local validity of similar chemicals but offers a coverage of large parts of the chemical universe similar to a QSAR. It expresses the certainty of a prediction based on the local data around the substance of interest. IV-1-593