Rong2020 - Grover-Toxcast: Probability of toxicity against 617 biological targets

This model has been trained using the GROVER embedding and performs prediction across the ToxCast toxicity panel, containing hundreds of toxicity outcomes, as part of the MoleculeNet benchmark.

Model Type: Predicitive machine learning model.
Model Relevance: Predicts Probability of toxicity against 617 biological targets.
Model Encoded by: Amna Ali (Ersilia)
Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam

Implementation of this model code by Ersilia is available here:
https://github.com/ersilia-os/eos481p