A regression model for the solubility of organic chemicals in pure water at 15 to 30 °C (log10 mol/L): the mean of gradient-boosted trees (XGBoost and LightGBM, five seeds each) and a message-passing graph neural network (Chemprop D-MPNN, five repeats, with the melting point as an auxiliary task). It was trained on 12...
Peter C. von der Ohe· Zenodo (CERN European Organi...· 0 citations
Regression model for the n-octanol/water partition coefficient (log Kow) of the neutral form of organic chemicals, developed for the NORMAN network: the mean of gradient-boosted trees (XGBoost and LightGBM) and a graph neural network (Chemprop D-MPNN). It was trained on 14 836 structures with measured values, 13 530 fr...
Peter C. von der Ohe· Zenodo (CERN European Organi...· 0 citations
A multi-species model for the acute and chronic aquatic toxicity of organic chemicals, developed for the NORMAN network. It predicts toxicity values (log10 µg/L) for 121 species-and-endpoint combinations (heads), of which 82 are released for use (59 acute: LC50/EC50; 23 chronic: NOEC/EC10), covering fish, crustaceans,...
Peter C. von der Ohe· Zenodo (CERN European Organi...· 0 citations
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