Jake Muldoon, Holger Moustakas, Terry W. Schultz, Trevor M. Penning, Amanda Bryant-Friedrich, Danielle J. Botelho, and Anne Marie Api
RIFM developed a robust, reliable method for clustering chemicals based on structural signatures derived from standardized signature trees to create signature-based structure-activity groups. This technique, which improves the accuracy, consistency, and explainability of safety evaluations, was successfully applied to over 6,000 fragrance and fragrance-like organic chemicals and is useful for transparently separating chemical inventories, facilitating data-gap filling via read-across, and supporting predictive toxicology.
