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Rapid 3D protein structure database searching using information retrieval techniques

机译:使用信息检索技术快速搜索3D蛋白质结构数据库

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摘要

Motivation: As the sizes of three-dimensional (3D) protein structure databases are growing rapidly nowadays, exhaustive database searching, in which a 3D query structure is compared to each and every structure in the database, becomes inefficient. We propose a rapid 3D protein structure retrieval system named 'ProtDex2', in which we adopt the techniques used in information retrieval systems in order to perform rapid database searching without having access to every 3D structure in the database. The retrieval process is based on the inverted-file index constructed on the feature vectors of the relationships between the secondary structure elements (SSEs) of all the 3D protein structures in the database. ProtDex2 is a significant improvement, both in terms of speed and accuracy, upon its predecessor system, ProtDex. Results: The experimental results show that ProtDex2 is very much faster than two well-known protein structure comparison methods, DALI and CE, yet not sacrificing on the accuracy of the comparison. When comparing with a similar SSE-based method, namely TopScan, ProtDex2 is much faster with comparable degree of accuracy.
机译:动机:如今,随着三维(3D)蛋白质结构数据库的大小快速增长,将3D查询结构与数据库中的每个结构进行比较的详尽数据库搜索变得效率低下。我们提出了一种名为“ ProtDex2”的快速3D蛋白质结构检索系统,在该系统中,我们采用了信息检索系统中使用的技术来执行快速数据库搜索,而无需访问数据库中的每个3D结构。检索过程基于倒排文件索引,该文件基于数据库中所有3D蛋白质结构的二级结构元素(SSE)之间关系的特征向量构建。 ProtDex2在其前身系统ProtDex的基础上,在速度和准确性方面均取得了重大改进。结果:实验结果表明,ProtDex2比两种著名的蛋白质结构比较方法DALI和CE快得多,但并没有牺牲比较的准确性。与基于SSE的类似方法TopScan进行比较时,ProtDex2的速度要快得多,并且具有相当的准确性。

著录项

  • 来源
    《Bioinformatics》 |2004年第7期|p. 1045-1052|共8页
  • 作者

    Zeyar Aung; Kian-Lee Tan;

  • 作者单位

    Department of Computer Science, National University of Singapore, 3 Science Drive 2, Singapore 117543;

    Department of Computer Science, National University of Singapore, 3 Science Drive 2, Singapore 117543;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物科学;
  • 关键词

  • 入库时间 2022-08-17 23:50:16

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