Feature importance of machine learning prediction models shows structurally active part and important physicochemical features in drug design

Research article (Drug Metabolism and Pharmacokinetics, 2021) · cited 17× · AI/ML
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Feature importance of machine learning prediction models shows structurally active part and important physicochemical features in drug design

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Feature importance of machine learning prediction models shows structurally active part and important physicochemical features in drug design is a scholarly article[1].

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  • Feature importance of machine learning prediction models shows structurally active part and important physicochemical features in drug design's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Feature importance of machine learning prediction models shows structurally active part and important physicochemical features in drug design. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-importance-of-machine-learning-prediction-models-shows-structurally-active-part-and-important-physicochemical-fe
MLA “Feature importance of machine learning prediction models shows structurally active part and important physicochemical features in drug design.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-importance-of-machine-learning-prediction-models-shows-structurally-active-part-and-important-physicochemical-fe.
BibTeX @misc{4ortxyz_feature-importance-of-machine-learning-prediction-models-shows-structurally-active-part-and-important-physicochemical-fe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature importance of machine learning prediction models shows structurally active part and important physicochemical features in drug design}}, year = {2026}, url = {https://4ort.xyz/entity/feature-importance-of-machine-learning-prediction-models-shows-structurally-active-part-and-important-physicochemical-fe}, note = {Accessed: 2026-05-24}}
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