Journal of Chemical Information and Modeling · 2010 · 7.6K citations · 84 references
PharmacyMedicinal ChemistryDrug DesignDrug DiscoveryStructure-activity RelationshipsChemical Space AnalysisChemical Space ExplorationMolecular DescriptorsMolecular SimilarityQuantitative Structure-activity RelationshipsActivity ModelingCircular FingerprintsComputational Structure-activity ModelingMolecular CharacterizationSimilarity SearchingStructure-activity Relationship ModelingTopological DescriptorsTopological Fingerprints
Extended-connectivity fingerprints (ECFPs) are a novel class of topological fingerprints for molecular characterization. Historically, topological fingerprints were developed for substructure and similarity searching. ECFPs were developed specifically for structure-activity modeling. ECFPs are circular fingerprints with a number of useful qualities: they can be very rapidly calculated; they are not predefined and can represent an essentially infinite number of different molecular features (including stereochemical information); their features represent the presence of particular substructures, allowing easier interpretation of analysis results; and the ECFP algorithm can be tailored to generate different types of circular fingerprints, optimized for different uses. While the use of ECFPs has been widely adopted and validated, a description of their implementation has not previously been presented in the literature.
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Classification and Regression Trees.
Alexander Gordon, Leo Breiman, Jerome H. Friedman et al. · Biometrics · 1984 · 23.9K citations
Predicting new molecular targets for known drugs
Michael J. Keiser, Vincent Setola, John J. Irwin et al. · Nature · 2009 · 1.7K citations