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 | biostudies-other |

SECONDARY ACCESSION(S): 10.48550/arXiv.2007.02835

REPOSITORIES: biostudies-other