Drug Discovery research aims to accelerate the identification of new drugs and therapeutic strategies using computational and data-driven approaches.
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Prediction of drug–target interactions (DTI)
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Analysis of drug–disease and gene–disease associations
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Drug repositioning and repurposing for new indications
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Machine learning and deep learning models for drug screening
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Network-based approaches for therapeutic discovery
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Molecular representation learning (graph, sequence, structure-based)
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Virtual screening and computational chemistry methods
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Multi-omics data integration for drug response prediction
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Development of databases and tools for drug discovery research