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3D Protein Structure Similarity Comparison Using a Shape Distribution method

机译:3D蛋白质结构相似性比较使用形状分布方法

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Protein structure comparison is one of the most important problems in computational biology and plays a key role in protein structure prediction. A new method based on the shape distribution of Cα representation of the backbone is proposed for evaluating structural similarity between protein pairs. The method is completely independent of sequence information. By examining the 3D proteins structural data from Protein Data Bank (PDB) using the method, strong shape distribution similarity is detected between protein pairs with close structures and functions. It provides a helpful method to measure protein pairs' similarity when sequence similarity is not enough.
机译:蛋白质结构比较是计算生物学中最重要的问题之一,并在蛋白质结构预测中发挥关键作用。提出了一种基于骨干的Cα表示形状分布的新方法,用于评估蛋白质对之间的结构相似性。该方法完全独立于序列信息。通过使用该方法检查来自蛋白质数据库(PDB)的3D蛋白结构数据,在具有密切结构和功能的蛋白质对之间检测强大的形状分布相似性。当序列相似度不够时,它提供了测量蛋白质对的相似性的有用方法。

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