We present the first application of machine learning on per- and polyfluoroalkyl substances (PFAS) for predicting and rationalizing carbon–fluorine (C–F) bond dissociation energies to aid in their eff
Dataset containing a Flame QSAR model for predicting Androgen Receptor activation. The model is described in the metadata.txt file. The ar_FPs_v000006.tgz file can be imported into any instance of the
Mycotoxin list containing 552 compounds was created from a literature search. From the compound names, simplified molecular-input line-entry system (Smiles) data were automatically retrieved using the