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Cloud4Psi: cloud computing for 3D protein structure similarity searching

机译:Cloud4Psi:用于3D蛋白质结构相似性搜索的云计算

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A Summary: Popular methods for 3D protein structure similarity searching, especially those that generate high-quality alignments such as Combinatorial Extension (CE) and Flexible structure Alignment by Chaining Aligned fragment pairs allowing Twists (FATCAT) are still time consuming. As a consequence, performing similarity searching against large repositories of structural data requires increased computational resources that are not always available. Cloud computing provides huge amounts of computational power that can be provisioned on a pay-as-you-go basis. We have developed the cloud-based system that allows scaling of the similarity searching process vertically and horizontally. Cloud4Psi (Cloud for Protein Similarity) was tested in the Microsoft Azure cloud environment and provided good, almost linearly proportional acceleration when scaled out onto many computational units
机译:简介:流行的3D蛋白质结构相似性搜索方法,尤其是那些产生高质量比对的方法,例如组合延伸(CE)和通过链进行柔性结构比对允许扭曲的对齐片段对(FATCAT)仍然很耗时。结果,对结构数据的大型存储库执行相似性搜索需要增加并非总是可用的计算资源。云计算提供了巨大的计算能力,可以按需付费。我们已经开发了基于云的系统,该系统允许垂直和水平扩展相似性搜索过程。 Cloud4Psi(蛋白质相似性云)已在Microsoft Azure云环境中进行了测试,并在扩展到许多计算单元时提供了良好的,几乎线性比例的加速

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