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Predicting ligand biological activity is a key challenge in drug discovery. Ligand-based statistical approaches are often hampered by noise due to undersampling: The number of molecules known to be active or inactive is vastly...

bioactivity prediction chemoinformatics ligand-based drug discovery Machine Learning random matrix theory Drug Discovery Humans Ligands Models Statistical Muscarinic Antagonists Receptors Muscarinic