Advances in In silico predictive models for DDI prediction: Implications and practical applications in drug discovery
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Advances in machine learning and artificial intelligence have recently extended to the quantitative prediction of drug-drug interaction (DDI). Because DDIs arise from diverse mechanisms and the required level of predictive accuracy varies with both the endpoin... ...
