3260 papers • 126 benchmarks • 313 datasets
A molecular property prediction problem of building Structure-Odor Relationships (SOR) models, where odor descriptors (for example, Fruity, Musky etc.) can predicted from molecules.
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A principal odor map is developed that faithfully represents known perceptual hierarchies and distances and outperforms previously published models to the point that replacing a trained human’s responses with the model output would improve overall panel description.
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