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Fast taxonomy of chemical structures selected from IR spectral database

机译:从红外光谱数据库中选择化学结构的快速分类法

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摘要

The results of taxonomy of organic structural formulas selected by a retrieval system from an infrared (IR) spectral database are presented. Two models of molecular graph are compared: connectivity matrix and vector description (exhaustive set of nonisomorphic k-vertex fragments). It is shown that the taxonomy of structures based on the shortest spanning tree of distance graph unites structurally similar compounds in groups (taxons). The taxonomy of structural formulas was performed for more than 100 spectral search results. The vector description of graphs provides fast taxonomy of structural formulas of selected compounds and makes easier the recognition of large structural fragments of the query compound. (C) 2004 Elsevier B.V. All rights reserved. [References: 17]
机译:提出了通过检索系统从红外光谱数据库中选择的有机结构式的分类结果。比较了两种分子图模型:连通性矩阵和向量描述(非同构k顶点片段的详尽集)。结果表明,基于距离图的最短生成树的结构分类法将结构相似的化合物组合在一起(类群)。对100多个光谱搜索结果执行了结构式的分类。图形的向量描述提供了所选化合物的结构式的快速分类法,并使识别查询化合物的大结构片段更容易。 (C)2004 Elsevier B.V.保留所有权利。 [参考:17]

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