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Rule induction for systems predicting biological activity

https://doi.org/10.1021/ci00017a018
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Artificial Intelligence in Chemistry
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The use of artificial intelligence systems for predicting toxicity
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QSAR in Toxicology. 4. Prediction of Non‐lethal Mammalian Toxicological Endpoints, and Expert Systems for Toxicity Prediction
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Dissimilarity Measures: Introducing a Novel Methodology
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In Vitro Genotoxicity and Cell Transformation Assessment
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Organic synthesis planning: Some hints from similarity
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Microbial Pathway Prediction: A Functional Group Approach
inferred← citeshttps://doi.org/10.1021/ci0503715openalex-snapshot
Substructure Mining Using Elaborate Chemical Representation
inferred← citeshttps://doi.org/10.1039/9781847558879-00001openalex-snapshot
Fragment Descriptors in SAR/QSAR/QSPR Studies, Molecular Similarity Analysis and in Virtual Screening
inferred← citeshttps://doi.org/10.1177/026119299702500303openalex-snapshot
The Development and Validation of Expert Systems for Predicting Toxicity
inferred← citeshttps://doi.org/10.1201/9780849350351-7openalex-snapshot
The Use of Expert Systems for Toxicology Risk Prediction
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Building a Chemical Space Based on Fragment Descriptors
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