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

ABSTRACT:

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

SUBMITTER: Zainab Ashimiyu-Abdusalam 

PROVIDER: MODEL2406050002 | biostudies-other |

SECONDARY ACCESSION(S): 10.48550/arXiv.2007.02835

REPOSITORIES: biostudies-other