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Issue 22, 2004
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A structure–odour relationship study using EVA descriptors and hierarchical clustering

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Abstract

Structure–odour relationship analyses using hierarchical clustering were carried out on a diverse dataset of 47 molecules. These molecules were divided into seven odour categories: ambergris, bitter almond, camphoraceous, rose, jasmine, muguet, and musk. The alignment-independent descriptor EVA (EigenVAlue) was used as the molecular descriptor. The results were compared with those of another kind of descriptor, the UNITY 2D fingerprint. The dendrograms obtained with these descriptors were compared with the seven odour categories using the adjusted Rand index. The dendrograms produced by EVA consistently outperformed those from UNITY 2D in reproducing the experimental odour classifications of these 47 molecules.

Graphical abstract: A structure–odour relationship study using EVA descriptors and hierarchical clustering

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Publication details

The article was received on 30 Jun 2004, accepted on 10 Sep 2004 and first published on 28 Sep 2004


Article type: Paper
DOI: 10.1039/B409802A
Citation: Org. Biomol. Chem., 2004,2, 3250-3255
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    A structure–odour relationship study using EVA descriptors and hierarchical clustering

    S. Takane and J. B. O. Mitchell, Org. Biomol. Chem., 2004, 2, 3250
    DOI: 10.1039/B409802A

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