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NONUNIFORM FOURIER TRANSFORMS FOR RIGID-BODY AND MULTI-DIMENSIONAL ROTATIONAL CORRELATIONS

机译:刚体和多维旋转相关性的非均匀傅立叶变换

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摘要

The task of evaluating correlations is central to computational structural biology. The rigid-body correlation problem seeks the rigid-body transformation (>R, >t), >R ∈ SO(3), >t ∈ ℝ3 that maximizes the correlation between a pair of input scalar-valued functions representing molecular structures. Exhaustive solutions to the rigid-body correlation problem take advantage of the fast Fourier transform to achieve a speedup either with respect to the sought translation or rotation. We present PFcorr, a new exhaustive solution, based on the non-equispaced SO(3) Fourier transform, to the rigid-body correlation problem; unlike previous solutions, ours achieves a combination of translational and rotational speedups without requiring equispaced grids. PFcorr can be straightforwardly applied to a variety of problems in protein structure prediction and refinement that involve correlations under rigid-body motions of the protein. Additionally, we show how it applies, along with an appropriate flexibility model, to analogs of the above problems in which the flexibility of the protein is relevant.
机译:评估相关性的任务是计算结构生物学的核心。刚体相关性问题寻求刚体变换(> R ,> t ),> R ∈SO(3),> t ∈ℝ 3 可使表示分子结构的一对输入标量值函数之间的相关性最大化。刚体相关性问题的详尽解决方案利用快速傅立叶变换来实现相对于所需平移或旋转的加速。我们提出PFcorr,一种新的穷举解决方案,基于非等距SO(3)傅里叶变换,解决刚体相关性问题;与以前的解决方案不同,我们的解决方案实现了平移和旋转加速的结合,而无需等间距的网格。 PFcorr可以直接应用于蛋白质结构预测和优化中的各种问题,这些问题涉及蛋白质在刚体运动下的相关性。此外,我们展示了它如何与适当的柔韧性模型一起应用于与蛋白质柔韧性相关的上述问题的类似物。

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