Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules
Machine learning (ML) approaches are receiving increasing attention from pharmaceutical companies and regulatory agencies, given their ability to mine knowledge from available data. In drug discovery, for example, they are employed in quantitative structure-property relationship (QSPR) models to pre...
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2021-07-01T00:00:00Z.
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