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CORRELATING OLFACTORY PERCEPTION WITH MOLECULAR STRUCTURE

机译:嗅觉与分子结构的相关性

摘要

Predicting human olfactory perception based on molecular structure is described. Molecular descriptor data indicative of molecular descriptors associated with a group of molecular samples can be obtained. Olfactory perception indicator (OPI) data for a set of OPIs can also be obtained with respect to the molecular samples. A training model can be executed on the molecular descriptor data and the OPI data to yield an output model that correlates molecular attributes with OPIs for a single individual or across an aggregate of individuals. The output model can be used to predict olfactory perception for a particular compound or mixture based on which OPIs are correlated with molecular descriptors of the compound or mixture in the output model. The output model can also be inverted and used to identify molecular descriptors that are correlated with a desired set of OPIs. A molecular construct having the molecular descriptors can then be generated.
机译:描述了基于分子结构预测人类嗅觉的方法。可以获得指示与一组分子样品相关的分子描述符的分子描述符数据。还可以相对于分子样品获得一组OPI的嗅觉指示剂(OPI)数据。可以在分子描述符数据和OPI数据上执行训练模型,以生成将分子属性与单个个体或个体集合中的OPI相关联的输出模型。输出模型可用于预测特定化合物或混合物的嗅觉,基于这些OPI与输出模型中化合物或混合物的分子描述符相关联。输出模型也可以反转,并用于识别与所需的OPI集相关的分子描述符。然后可以产生具有分子描述符的分子构建体。

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