biostudies-otherUnknown40Amina Mardiyyah RufaiMolecular informaticse2000105Homo sapienshttps://www.ebi.ac.uk/biostudies/studies/MODEL2406210001biostudies-other33067876Namratha PavuluriZainab Ashimiyu-AbdusalamAdegoke Faith OmolaraAmina Mardiyyah RufaifalseLi2021 - HDAC3i-Finder: A Machine Learning-based Computational Tool to Screen for HDAC3 Inhibitors<p>The model predicts the inhibitory potential of small molecules against Histone deacetylase 3 (HDAC3), a relevant human target for cancer, inflammation, neurodegenerative diseases and diabetes. The authors have used a dataset of 1098 compounds from ChEMBL and validated the model using the benchmark MUBD-HDAC3.</p><p><normal>Model Type:</normal> Predictive machine learning model.<br><normal>Model Relevance:</normal> Probability that the molecule is a HDAC3 inhibitor <br><normal>Model Encoded by:</normal> Sarima Chiorlu (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/eos1n4b">https://github.com/ersilia-os/eos1n4b</a></p><img src="https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png" alt="Ersilia Logo" width="150">2024-06-21T00:00:00Z2025-07-14T17:01:22.872Z2025-03-31T13:26:53.274ZMODEL2406210001OBCS:0000059OBCS:000005800006140002305STATO:0000274STATO:0000415STATO:0000524STATO:0000209STATO:000003133067876PR:000008482NCIT:C19672C154898NCIT:C16309C154407C45329topic_3336topic_0154topic_3474OBI_0200032CHEMINF:0000189606HDAC3i-Finderxgboostunknowneos1n4b0005741