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Use of 13C NMR Spectrometric Data To Produce a Predictive Model of Estrogen Receptor Binding Activity

https://doi.org/10.1021/ci0000878
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The Estrogen Receptor Relative Binding Affinities of 188 Natural and Xenochemicals: Structural Diversity of Ligands
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QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor α and β Subtypes
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Quantitative Structure-Activity Relationships (QSARs) for Estrogen Binding to the Estrogen Receptor: Predictions across Species

What points at this work

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ChemInform Abstract: Use of 13C NMR Spectrometric Data to Produce a Predictive Model of Estrogen Receptor Binding Activity.
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THE USE OF CARBON THIRTEEN NUCLEAR MAGNETIC RESONANCE SPECTRA TO PREDICT DIOXIN AND FURAN BINDING AFFINITIES TO THE ARYL HYDROCARBON RECEPTOR
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Global Model for Octanol‐Water Partition Coefficients from Proton Nuclear Magnetic Resonance Spectra
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13C NMR–Distance Matrix Descriptors: Optimal Abstract 3D Space Granularity for Predicting Estrogen Binding
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Use of13C NMR Chemical Shift as QSAR/QSPR Descriptor
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