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2020-190 - Using Machine Learning to Predict Drug Properties

Drug discovery Antibacterial resistance Treatment of life-threatening and rare diseases Abstract USC researchers have developed a machine learning approach that can infer drug properties from known information about drug-target interactions. The technique is used to build a weighted Drug-Drug Similarity Network that can generate drug communities...