{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["20"],"submitter":["Zainab Ashimiyu-Abdusalam"],"journal":["International journal of molecular sciences"],"pagination":["E3170"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/MODEL2406030003"],"repository":["biostudies-other"],"additional_accession":["31261723"],"pubmed_authors":["Zainab Ashimiyu-Abdusalam","Miquel Duran-Frigola"]},"is_claimable":false,"name":"Chi2019 - In Silico Prediction of PAMPA Effective Permeability Using a Two-QSAR Approach","description":"<p>The authors provide a dataset of 200 small molecules and their experimentally measured permeability in a PAMPA assay. Using this data, we have trained a model that predicts the logarithm of the effective permeability coefficient.</p><p><normal>Model Type:</normal> Predictive machine learning model.<br><normal>Model Relevance:</normal> Predicts pampa-permeability.<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/eos97yu\">https://github.com/ersilia-os/eos97yu</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":"2025-07-14T17:01:59.926Z","creation":"2025-03-31T13:26:21.942Z"},"accession":"MODEL2406030003","cross_references":{"bao":["0010072","0000009","0002305"],"stato":["STATO:0000571","STATO:0000237"],"pubmed":["31261723"],"ncit":["NCIT:C53237","NCIT:C78542","NCIT:C65172","NCIT:C16309"],"edam":["topic_3336","topic_0154","topic_3474","data_1497"],"cheminf":["CHEMINF:000018"],"obi":["OBI_0200032"],"pato":["PATO:0001578","PATO:0001577","PATO:0000970"],"mi":["MI:2045"],"unknown":["#app1-ijms-20-03170","eos97yu"]}}