biostudies-otherUnknownZainab Ashimiyu-AbdusalamAdvances in Neural Information Processing Systems 33 (NeurIPS 2020)https://www.ebi.ac.uk/biostudies/studies/MODEL2406050004biostudies-other10.48550/arXiv.2007.02835Amna AliZainab Ashimiyu-AbdusalamfalseRong2020 - Grover-clintox: A classification model to predict the likelihood of failure in clinical trials due to toxicity<p>This model has been trained using the GROVER transformer and the Molecule Net dataset ClinTox, the authors trained a classification model to predict the likelihood of failure in clinical trials due to toxicity. The dataset has been built using FDA approved drugs (non-toxic) and a set of drugs that have failed at advanced clinical trial stages. </p><p><normal>Model Type:</normal> Predicitive machine learning model.<br><normal>Model Relevance:</normal> Probability that a molecule is approved by the FDA and probability that a molecule shows toxicity in clinical trials.<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/eos6fza">https://github.com/ersilia-os/eos6fza</a></p><img src="https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png" alt="Ersilia Logo" width="150">2024-06-05T00:00:00Z2025-07-14T17:01:33.709Z2025-03-31T13:26:41.778ZMODEL24060500040700004STATO:0000031NCIT:C103240NCIT:C41340NCIT:C16309NCIT:C71104C154407NCIT:C39536topic_3474CHEMINF:00001810.48550/arXiv.2007.02835datasets-1