<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/MODEL2406050005</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-tox21: Predicts activity of compounds accross the Tox21 panel.</name><description>&lt;p>This model has been trained using the GROVER transformer and Predicts activity of compounds in the Tox21 toxicity panel, comprising of 12 toxicity pathways, as part of the MoleculeNet benchmark datasets. &lt;/p>&lt;p>&lt;normal>Model Type:&lt;/normal> Predicitive machine learning model.&lt;br>&lt;normal>Model Relevance:&lt;/normal> Toxicity measurements against 12 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/eos5smc">https://github.com/ersilia-os/eos5smc&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>2025-07-14T17:01:31.717Z</modification><creation>2025-03-31T13:26:44.005Z</creation></dates><accession>MODEL2406050005</accession><cross_references><stato>STATO:0000274</stato><stato>STATO:0000031</stato><bao>0070002</bao><bao>0002305</bao><ncit>NCIT:C103240</ncit><ncit>NCIT:C16990</ncit><ncit>C27990</ncit><ncit>NCIT:C16309</ncit><ncit>NCIT:C17429</ncit><ncit>C45329</ncit><ncit>C154407</ncit><edam>topic_3336</edam><edam>topic_0154</edam><edam>topic_3474</edam><cheminf>CHEMINF:000018</cheminf><doi>10.48550/arXiv.2007.02835</doi><unknown>eos5smc</unknown><unknown>grover</unknown><unknown>datasets-1</unknown></cross_references></HashMap>