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首页> 外文期刊>Journal of Chemical Information and Computer Sciences >SIMILARITY SEARCHING IN FILES OF THREE-DIMENSIONAL CHEMICAL STRUCTURES - FLEXIBLE FIELD-BASED SEARCHING OF MOLECULAR ELECTROSTATIC POTENTIALS
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SIMILARITY SEARCHING IN FILES OF THREE-DIMENSIONAL CHEMICAL STRUCTURES - FLEXIBLE FIELD-BASED SEARCHING OF MOLECULAR ELECTROSTATIC POTENTIALS

机译:三维化学结构文件中的相似性搜索-基于弹性场的分子静电势搜索

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Similarity measures based on the molecular electrostatic potential (MEP) have been used to quantify the degree of resemblance between pairs of rigid three-dimensional (3-D) molecules. This paper discusses the effect of including molecular flexibility on the similarities that are calculated using such measures in searches of large 3-D databases. Experiments with a graph-theoretic approach to MEP-based similarity searching demonstrate the limitations of using multiple conformations to represent the variations in an MEP that arise from torsional flexibility. Better results have been obtained with a genetic algorithm (GA) that has been developed for calculating the similarity between the MEPs of pairs of molecules, one or both of which is flexible. Experiments with two small files of flexible 3-D structures show that this GA identifies significantly better alignments than does a comparable GA for searching rigid 3-D molecules. [References: 41]
机译:基于分子静电势(MEP)的相似性度量已用于量化成对的刚性三维(3-D)分子之间的相似程度。本文讨论了在大型3D数据库的搜索中使用这种方法计算出的相似性时,包括分子灵活性的影响。使用图论方法进行基于MEP的相似性搜索的实验表明,使用多个构象来表示MEP中由于扭转柔韧性引起的变化是有限度的。使用遗传算法(GA)获得了更好的结果,该遗传算法已开发出来用于计算分子对MEP之间的相似性,其中一个或两个都是灵活的。用两个小的3D柔性结构小文件进行的实验表明,与搜索刚性3D分子的可比GA相比,该GA可以识别出更好的比对。 [参考:41]

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