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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 | BioModels | 2024-06-05

REPOSITORIES: BioModels

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