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Prefix-Shuffled Geometric Suffix Tree

机译:前缀 - 被播放的几何后缀树

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摘要

Protein structure analysis is one of the most important research issues in the post-genomic era, and faster and more accurate index data structures for such 3-D structures are highly desired for research on proteins. The geometric suffix tree is a very sophisticated index structure that enables fast and accurate search on protein 3-D structures. By using it, we can search from 3-D structure databases for all the substructures whose RMSDs (root mean square deviations) to a given query 3-D structure are not larger than a given bound. In this paper, we propose a new data structure based on the geometric suffix tree whose query performance is much better than the original geometric suffix tree. We call the modified data structure the prefix-shuffled geometric suffix tree (or PSGST for short). According to our experiments, the PSGST outperforms the geometric suffix tree in most cases. The PSGST shows its best performance when the database does not have many substructures similar to the query. The query is sometimes 100 times faster than the original geometric suffix trees in such cases.
机译:蛋白质结构分析是基因组后时代中最重要的研究问题之一,对于蛋白质的研究,对这种3-D结构的速度更快,更准确的指标数据结构非常需要。几何后缀树是一个非常复杂的索引结构,可快速准确地搜索蛋白质3-D结构。通过使用它,我们可以从3-D结构数据库搜索所有子结构,其RMSDS(均方方偏差)到给定查询3-D结构的不大于给定的绑定。在本文中,我们提出了一种基于几何后缀树的新数据结构,其查询性能远优于原始几何后缀树。我们调用修改后的数据结构前缀播放的几何后缀树(或短暂的PSGST)。根据我们的实验,PSGST在大多数情况下占几何后缀树。当数据库没有类似于查询时,PSGST显示其最佳性能。在这种情况下,查询有时比原始几何后缀树快100倍。

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