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