biostudies-otherUnknownZainab Ashimiyu-AbdusalamAdvances in Neural Information Processing Systems 33 (NeurIPS 2020)https://www.ebi.ac.uk/biostudies/studies/MODEL2406050007biostudies-other10.48550/arXiv.2007.02835Amna AliZainab Ashimiyu-AbdusalamfalseRong2020 - Grover-sider: Prediction of the putative adverse drug reactions (ADR) of a molecule<p>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</p><p><normal>Model Type:</normal> Predicitive machine learning model.<br><normal>Model Relevance:</normal> Predicts adverse drug reactions (ADR) of a molecule<br><normal>Model Encoded by:</normal> Amna Ali (Ersilia)<br><normal>Metadata Submitted in BioModels by:</normal> Zainab Ashimiyu-Abdusalam</p><p>Implementation of this model code by <a href="https://ersilia.io/">Ersilia</a> is available here: <br><a href="https://github.com/ersilia-os/eos77w8">https://github.com/ersilia-os/eos77w8</a></p><img src="https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png" alt="Ersilia Logo" width="150">2024-06-05T00:00:00Z2025-07-14T17:01:27.442Z2025-03-31T13:26:48.776ZMODEL240605000710.48550/arXiv.2007.02835