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Acceleration of a protein structure comparison algorithm on FPGA

机译:在FPGA上加速蛋白质结构比较算法

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Proteins are among the most fundamental molecules in living organisms. Investigation and comparison of their three-dimensional structure is an important task in structural bioinformatics as global and local similarities can be of functional importance. Structure alignment and comparison is computationally intensive, so typically a number of simplifications are used for practical reasons. However, these can not always be justified on a biological or biochemical basis, and might lead to unreliable results. In this paper we describe the development and application of a method based on local structural information, suitable for comprehensive analysis of the more than 100,000 structures available today. The approach is implemented on an FPGA board allowing reasonable runtime and thus offering the possibility of parameter tuning on very large, unbiased datasets.
机译:蛋白质是生命有机体中最基本的分子之一。研究和比较它们的三维结构是结构生物信息学中的一项重要任务,因为全局和局部相似性可能具有重要的功能。结构对齐和比较需要大量的计算,因此出于实际原因通常会使用许多简化方法。但是,这些方法不能总是在生物学或生化基础上被证明是正确的,并且可能导致不可靠的结果。在本文中,我们描述了一种基于局部结构信息的方法的开发和应用,该方法适用于对当今可用的100,000多种结构进行综合分析。该方法在允许合理运行时间的FPGA板上实现,从而提供了在非常大且无偏的数据集上进行参数调整的可能性。

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