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• W2000604913 abstract "Abstract The Quantitative Structure–Property Relationship (QSPR) method was performed to study the fluorescence excitation wavelengths ( λ ex ) and emission wavelengths ( λ em ) of 64 fluorescent probes. The probes included the derivatives of dansyl, bimane, pyrene, benzofurazan, nonaphthalene, coumarin, anthracene and fluorescein, with the wavelength ranging from 300 nm to 600 nm. The Heuristic Method (HM) and Radial Basis Function Neural Networks (RBFNNs) were employed to construct linear and nonlinear prediction models, respectively. The proposed linear models for λ ex and λ em contain five descriptors with the squared correlation coefficients R 2 of 0.888 and 0.897, respectively. Better prediction results were obtained from RBFNN model, with the squared correlation coefficients R 2 of 0.948 and 0.939 for λ ex and λ em , respectively. The descriptors used in the models were discussed in detail too." @default.
• W2000604913 created "2016-06-24" @default.
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• W2000604913 date "2006-02-01" @default.
• W2000604913 modified "2023-10-18" @default.
• W2000604913 title "QSPR Study of Fluorescence Wavelengths (λex/λem) Based on the Heuristic Method and Radial Basis Function Neural Networks" @default.
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• W2000604913 doi "https://doi.org/10.1002/qsar.200510142" @default.
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