biostudies-otherUnknown13Zainab Ashimiyu-AbdusalamJournal of cheminformatics13Homo sapienshttps://www.ebi.ac.uk/biostudies/studies/MODEL2405210002biostudies-other33618772Zainab Ashimiyu-AbdusalamfalseBosc2021 - MAIP: a web service for predicting blood‐stage malaria inhibitors<p>Prediction of the antimalarial potential of small molecules. This model is an ensemble of smaller QSAR models trained on proprietary data from various sources, up to a total of >7M compounds. The training sets belong to Evotec, Johns Hopkins, MRCT, MMV - St. Jude, AZ, GSK, and St. Jude Vendor Library. The code and training data are not released, using this model posts predictions to the MAIP online server. The Ersilia Model Hub also offers MAIP-surrogate as a downloadable package for IP-sensitive queries.</p><p><normal>Model Type:</normal> Predictive machine learning model.<br><normal>Model Relevance:</normal> Predicts antimalarial activity.<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/eos4zfy">https://github.com/ersilia-os/eos4zfy</a></p><img src="https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png" alt="Ersilia Logo" width="150">2024-05-21T00:00:00Z2025-07-14T17:02:18.798Z2025-03-31T13:26:03.691ZMODEL2405210002UBERON:0000178CHEBI:38068topic_3336topic_0154topic_3474OPL:000026396065833eos4zfy000574100010680002305STATO:0000274STATO:0000530STATO:000003133618772NCIT:C271NCIT:C16309NCIT:C47824C154407C45329OBI_0200032CHEMINF:000018