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A Large Descriptor Set and a Probabilistic Kernel-Based Classifier Significantly Improve Druglikeness Classification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A Large Descriptor Set and a Probabilistic Kernel‐Based Classifier Significantly Improve Druglikeness Classification.
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Additional file 1 of DBPP-Predictor: a novel strategy for prediction of chemical drug-likeness based on property profiles
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Additional file 2 of DBPP-Predictor: a novel strategy for prediction of chemical drug-likeness based on property profiles
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