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首页> 外文期刊>Information Sciences: An International Journal >HDInsight4PSi: Boosting performance of 3D protein structure similarity searching with HDInsight clusters in Microsoft Azure cloud
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HDInsight4PSi: Boosting performance of 3D protein structure similarity searching with HDInsight clusters in Microsoft Azure cloud

机译:HDInsight4PSi:使用Microsoft Azure云中的HDInsight群集提高3D蛋白质结构相似性搜索的性能

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摘要

3D protein structure similarity searching is one of the important processes performed in structural bioinformatics, since it allows for protein function identification and reconstruction of phylogeny for weakly related organisms. Due to the complexity of 3D protein structures and exponential growth of protein structures in public repositories, like the Protein Data Bank, the process is time-consuming and requires increased computational resources. This causes the necessity to prepare computer systems to be able to deal with such huge volumes of macromolecular data.
机译:3D蛋白质结构相似性搜索是结构生物信息学中执行的重要过程之一,因为它可以识别蛋白质功能并重建弱相关生物的系统发育。由于3D蛋白质结构的复杂性以及诸如蛋白质数据库这样的公共存储库中蛋白质结构的指数增长,该过程很耗时,并且需要增加计算资源。这导致必须准备计算机系统以能够处理如此大量的大分子数据。

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