Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information
Read-across is a popular data gap filling technique within category and analogue approaches for regulatory purposes. Acceptance of read-across remains an ongoing challenge with several efforts underway for identifying and addressing uncertainties. Here we demonstrate an algorithmic, automated approach to evaluate the …