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

NIAID Data Ecosystem2026-05-02 收录

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https://www.omicsdi.org/dataset/biomodels/MODEL2406050007

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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

创建时间：

2024-06-05