An important topic in bioinformatics is the protein structure alignment. Some statistical methods have been proposed for this problem, but most of them align two protein structures based on the global geometric information without considering the effect of neighbourhood in the structures. In this paper, we provide a Bayesian model to align protein structures, by considering the effect of both local and global geometric information of protein structures. Local geometric information is incorporated to the model through the partial Procrustes distance of small substructures. These substructures are composed of

中文翻译：

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使用部分 Procrustes 距离对蛋白质结构进行贝叶斯比较

生物信息学的一个重要课题是蛋白质结构比对。针对这个问题已经提出了一些统计方法，但它们中的大多数基于全局几何信息对齐两个蛋白质结构，而不考虑结构中邻域的影响。在本文中，我们通过考虑蛋白质结构的局部和全局几何信息的影响，提供了一个贝叶斯模型来对齐蛋白质结构。通过小型子结构的部分 Procrustes 距离将局部几何信息纳入模型。这些子结构由