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