Rong2020 - Grover-tox21: Predicts activity of compounds accross the Tox21 panel.

ABSTRACT:

This model has been trained using the GROVER transformer and Predicts activity of compounds in the Tox21 toxicity panel, comprising of 12 toxicity pathways, as part of the MoleculeNet benchmark datasets.

Model Type: Predicitive machine learning model.
Model Relevance: Toxicity measurements against 12 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/eos5smc

SUBMITTER: Zainab Ashimiyu-Abdusalam 

PROVIDER: MODEL2406050005 | biostudies-other |

SECONDARY ACCESSION(S): 10.48550/arXiv.2007.02835

REPOSITORIES: biostudies-other