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Durandal:快速精确的蛋白质诱饵聚类。

Durandal: fast exact clustering of protein decoys.

机构信息

Zhang Initiative Research Unit, Advanced Science Institute, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.

出版信息

J Comput Chem. 2012 Feb 5;33(4):471-4. doi: 10.1002/jcc.21988. Epub 2011 Nov 26.

Abstract

In protein folding, clustering is commonly used as one way to identify the best decoy produced. Initializing the pairwise distance matrix for a large decoy set is computationally expensive. We have proposed a fast method that works even on large decoy sets. This method is implemented in a software called Durandal. Durandal has been shown to be consistently faster than other software performing fast exact clustering. In some cases, Durandal can even outperform the speed of an approximate method. Durandal uses the triangular inequality to accelerate exact clustering, without compromising the distance function. Recently, we have further enhanced the performance of Durandal by incorporating a Quaternion-based characteristic polynomial method that has increased the speed of Durandal between 13% and 27% compared with the previous version. Durandal source code is available under the GNU General Public License at http://www.riken.jp/zhangiru/software/durandal_released_qcp.tgz. Alternatively, a compiled version of Durandal is also distributed with the nightly builds of the Phenix (http://www.phenix-online.org/) crystallographic software suite (Adams et al., Acta Crystallogr Sect D 2010, 66, 213).

摘要

在蛋白质折叠中,聚类通常被用作识别最佳诱饵的方法之一。初始化大型诱饵集的成对距离矩阵在计算上是昂贵的。我们提出了一种即使在大型诱饵集上也能快速工作的方法。该方法在名为 Durandal 的软件中实现。Durandal 已被证明始终比执行快速精确聚类的其他软件更快。在某些情况下,Durandal 的速度甚至可以超过近似方法。Durandal 使用三角形不等式来加速精确聚类,而不会影响距离函数。最近,我们通过结合基于四元数的特征多项式方法进一步提高了 Durandal 的性能,与上一版本相比,Durandal 的速度提高了 13%至 27%。Durandal 的源代码可在 GNU 通用公共许可证下获得,网址为 http://www.riken.jp/zhangiru/software/durandal_released_qcp.tgz。或者,Durandal 的编译版本也随 Phenix(http://www.phenix-online.org/)晶体学软件套件的夜间构建版一起分发(Adams 等人,晶体学报 D 辑 2010,66,213)。

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