{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Zainab Ashimiyu-Abdusalam"],"journal":["Advances in Neural Information Processing Systems 33 (NeurIPS 2020)"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/MODEL2406050002"],"repository":["biostudies-other"],"additional_accession":["10.48550/arXiv.2007.02835"],"pubmed_authors":["Amna Ali","Zainab Ashimiyu-Abdusalam"]},"is_claimable":false,"name":"Rong2020 - Grover-Toxcast: Probability of toxicity against 617 biological targets","description":"<p>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.  </p><p><normal>Model Type:</normal> Predicitive machine learning model.<br><normal>Model Relevance:</normal> Predicts Probability of toxicity against 617 biological targets.<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/eos481p\">https://github.com/ersilia-os/eos481p</a></p><img src=\"https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png\" alt=\"Ersilia Logo\" width=\"150\">","dates":{"release":"2024-06-05T00:00:00Z","modification":"2025-07-14T17:01:38.585Z","creation":"2025-03-31T13:26:37.416Z"},"accession":"MODEL2406050002","cross_references":{"stato":["STATO:0000031"],"ncit":["NCIT:C103240","C154407"],"doi":["10.48550/arXiv.2007.02835"],"unknown":["eos481p"],"efo":["EFO:0011061"]}}