
Analysis of Publically Available Skin Sensitization Data from REACH Registrations 2008-2014
With a curated database of 70 million structures and 80,908 chemicals with 833,844 labeled hazard endpoints, Cheminformatics utilizes an advanced algorithm, machine learning, and analysis of millions of chemical combinations to predict chemical hazards.
This ground-breaking digital tool offers the best of both worlds: automated computational QSAR using one of the largest chemical toxicology databases available, combined with the reliability of read across. The Cheminformatics Tool Kit works by building large networks of chemicals based on properties such as molecular structure and health endpoint interactions.
UL Solutions' Cheminformatics Tool Kit is a computational toxicology Read Across Structure Activity Relationship (RASAR) software that quickly and accurately assesses chemicals for the Globally Harmonized System of Classification and Labeling (GHS) for hazard classification.
Leveraging a curated database of 70 million structures and 80,908 chemicals with 833,844 labeled hazard endpoints, this innovative software utilizes an advanced algorithm, machine learning, and analysis of millions of chemical combinations to predict chemical hazards similar to the reproducibility accuracy of animal testing.
UL Solutions’ Cheminformatics Tool Kit will enable manufacturers and formulators to efficiently and accurately assess the hazards of chemicals and create robust SDS’ and R-SDS’, labels, and relevant transportation, hygiene, and laboratory safety information.
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