A metric for odorant comparison
A metric for odorant comparison
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DOI：
10.1038/nmeth.1197
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发表时间：
2008-05-01
期刊：
影响因子：
48
通讯作者：
Sobel, Noam
中科院分区：
文献类型：
--
作者：
Haddad, Rafi;Khan, Rehan;Sobel, Noam
在视觉和听觉的研究中，刺激可以分别通过波长和频率系统地变化，但嗅觉没有等效的度量。受限的气味特征度量，如碳原子数和官能团数，不能解释对沿着其他结构维度变化的气味的响应模式。我们生成了一个多维气味度量，其中每个气味分子表示为1，664个分子描述符值的向量。回顾许多研究，我们发现这个指标和第二个优化的指标总是比每个研究中使用的特定指标更好地解释神经反应。这些指标适用于不同的研究，这些研究包括所研究的动物、所测试的嗅觉神经元类型、所应用的气味剂和所使用的记录方法。我们使用这个新的度量建议套的气味，跨越物理化学空间用于嗅觉实验。
In studies of vision and audition, stimuli can be systematically varied by wavelength and frequency, respectively, but there is no equivalent metric for olfaction. Restricted odorant-feature metrics such as number of carbons and functional group do not account for response patterns to odorants varying along other structural dimensions. We generated a multidimensional odor metric, in which each odorant molecule was represented as a vector of 1,664 molecular descriptor values. Revisiting many studies, we found that this metric and a second optimized metric were always better at accounting for neural responses than the specific metric used in each study. These metrics were applicable across studies that differed in the animals studied, the type of olfactory neurons tested, the odorants applied and the recording methods used. We use this new metric to recommend sets of odorants that span the physicochemical space for use in olfaction experiments.