Abeysinghe S, Baker M L, Chiu W, Ju T
Washington University in St. Louis, USA.
Comput Graph Forum. 2010;29(7):2243-2252. doi: 10.1111/j.1467-8659.2010.01813.x.
In this paper, we study a registration problem that is motivated by a practical biology problem - fitting protein structures to low-resolution density maps. We consider registration between two sets of lines features (e.g., helices in the proteins) that have undergone not a single, but multiple isometric transformations (e.g., hinge-motions). The problem is further complicated by the presence of symmetry in each set. We formulate the problem as a clique-finding problem in a product graph, and propose a heuristic solution that includes a fast clique-finding algorithm unique to the structure of this graph. When tested on a suite of real protein structures, the algorithm achieved high accuracy even for very large inputs containing hundreds of helices.
在本文中,我们研究了一个由实际生物学问题引发的配准问题——将蛋白质结构拟合到低分辨率密度图。我们考虑两组线特征(例如蛋白质中的螺旋)之间的配准,这些线特征经历的不是单一的,而是多个等距变换(例如铰链运动)。每组中对称性的存在使问题进一步复杂化。我们将该问题表述为乘积图中的团查找问题,并提出了一种启发式解决方案,其中包括一种针对该图结构的快速团查找算法。在一组真实蛋白质结构上进行测试时,即使对于包含数百个螺旋的非常大的输入,该算法也能实现高精度。