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Rong2020 - Grover-sider: Prediction of the putative adverse drug reactions (ADR) of a molecule

ABSTRACT: The model predicts the putative adverse drug reactions (ADR) of a molecule, using the SIDER database (MoleculeNet) that contains pairs of marketed drugs and their described ADRs.This model has been trained using the GROVER transformer Model Type: Predicitive machine learning model. Model Relevance: Predicts adverse drug reactions (ADR) of a molecule 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/eos77w8

SUBMITTER: Zainab Ashimiyu-Abdusalam

PROVIDER: MODEL2406050007 | BioModels | 2024-06-05

REPOSITORIES: BioModels

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