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Optimizing Shape Complementarity Scoring Parameters for Recognition of Authentic Protein Crystal Packing Arrangements

机译:优化形状互补评分参数以识别真实的蛋白质晶体包装排列

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摘要

The prediction of protein crystal packing arrangements and the de novo design of new crystal forms are notoriously challenging problems. For both problems, it is useful to enumerate high quality packing arrangements. To efficiently enumerate candidate crystal forms, we have adapted grid-based fast Fourier transform strategies first developed in the context of protein docking algorithms. To maximize performance of the grid-based, shape-complementarity scoring scheme, we have optimized parameters for the recognition of authentic protein crystal packing arrangements. To this end, extensive calculations were performed to assess a wide range of grid representation parameter spaces for a panel of low-solvent protein crystals. The optimum parameters obtained from the computations successfully identify authentic protein crystal packing arrangements out of large pools of similar decoy packing arrangements.
机译:众所周知,蛋白质晶体堆积排列的预测和新晶体形式的从头设计是具有挑战性的问题。对于这两个问题,列举高质量的包装安排是有用的。为了有效地枚举候选晶形,我们采用了基于网格的快速傅立叶变换策略,该策略首先是在蛋白质对接算法的背景下开发的。为了最大程度地提高基于网格的形状互补评分方案的性能,我们优化了参数以识别真实的蛋白质晶体堆积排列。为此,进行了广泛的计算,以评估一组低溶剂蛋白晶体的各种网格表示参数空间。从计算中获得的最佳参数成功地从大批类似诱饵包装装置中识别出了真正的蛋白质晶体包装装置。

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