Shypd.aiThe largest open index of AI toolsDeepPurpose is a deep learning library for compound and protein modeling that facilitates drug-target interaction (DTI), drug property, protein-protein interaction (PPI), and drug-drug interaction (DDI) prediction. It offers easy usage with several lines of code for life science research.
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DeepPurpose is a comprehensive deep learning toolkit designed for molecular modeling and prediction in life science research. It supports various applications including Drug-Target Interaction (DTI) prediction, Compound Property Prediction, Protein-Protein Interaction (PPI) prediction, Drug-Drug Interaction (DDI) prediction, and Protein Function prediction. Built on PyTorch, DeepPurpose offers over 15 powerful encodings for drugs and proteins, ranging from cheminformatics fingerprints to graph neural networks, providing over 50 combined models. The library is designed for realistic and user-friendly applications, supporting tasks like drug repurposing, virtual screening, QSAR, and side effect prediction. It includes features like automatic task identification (regression/binary), support for cold target/drug settings, extensive dataset loading scripts, pretrained checkpoints, and detailed training metrics with early stopping. DeepPurpose is actively maintained and encourages user feedback.
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