Prediction of PMT and PBT substances with Logistic Regression in Jupyter notebook

ABSTRACT In the regulatory field, new hazard classes are emerging, notably persistent, mobile, and toxic (PMT) substances, which are of increasing concern due to their potential risks to aquatic environments. PMT substances are classified similarly as persistent, bioaccumulative, and toxic (PBT) substances. According to UBA guidance, a substance is considered Read more…

The Group Entry Screening Tool 3 – Identifying regulated substances via structural properties

In this article, the prototype of a SMILES-based portfolio screening tool completely written in Python using the libraries pandas, rdkit and tkinter is presented. This tool supports regulatory group entry screenings of chemical substances based on its structural similarity to regulated chemical substances. This structure-based screening can be of additional Read more…

Portfolio Screening Tool 3

Worldwide chemical regulations require manufacturers and importers of chemical substances to maintain regulatory compliance of their portfolio. One technical solution to this is a simple screening with the Portfolio Screening Tool 3 that can find matches between a regulatory inventory list and the chemical portfolio given by the user. The Read more…