{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["61"],"submitter":["Zainab Ashimiyu-Abdusalam"],"journal":["Journal of chemical information and modeling"],"pagination":["2530-2536"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/MODEL2406030002"],"repository":["biostudies-other"],"additional_accession":["34038123"],"pubmed_authors":["Zainab Ashimiyu-Abdusalam","Miquel Duran-Frigola"]},"is_claimable":false,"name":"Francoeur2021 - SolTranNet–A Machine Learning Tool for Fast Aqueous Solubility Prediction","description":"<p>Fast aqueous solubility prediction based on the Molecule Attention Transformer (MAT). The authors used AqSolDB to fine-tune the MAT network to solubility prediction, achieving competitive scores in the Second Challenge to Predict Aqueous Solubility (SC2).</p><p><normal>Model Type:</normal> Predictive machine learning model.<br><normal>Model Relevance:</normal> Predicts log of the solubility of small molecules.<br><normal>Model Encoded by:</normal>  Miquel Duran Frigola (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/eos6oli\">https://github.com/ersilia-os/eos6oli</a></p><img src=\"https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png\" alt=\"Ersilia Logo\" width=\"150\">","dates":{"release":"2024-06-03T00:00:00Z","modification":"2025-07-14T17:02:02.709Z","creation":"2025-03-31T13:26:19.623Z"},"accession":"MODEL2406030002","cross_references":{"bao":["0000009","0002305","0002775","0002135"],"stato":["STATO:0000233","STATO:0000564"],"pubmed":["34038123"],"ncit":["NCIT:C53237","NCIT:C64214","NCIT:C64364","NCIT:C134259","NCIT:C16309","NCIT:C176258"],"edam":["topic_3336","topic_0154","topic_3474","data_1497"],"cheminf":["CHEMINF:000018"],"obi":["OBI_0200032"],"pato":["PATO:0001538"],"mi":["MI:2045","MI:2160"],"unknown":["eos6oli","SolTranNet_paper","SolTranNet","OVHAW8"]}}