Kinoshita Kengo, Nakamura Haruki
The Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan.
Protein Sci. 2005 Mar;14(3):711-8. doi: 10.1110/ps.041080105. Epub 2005 Feb 2.
Identification of protein biochemical functions based on their three-dimensional structures is now required in the post-genome-sequencing era. Ligand binding is one of the major biochemical functions of proteins, and thus the identification of ligands and their binding sites is the starting point for the function identification. Previously we reported our first trial on structure-based function prediction, based on the similarity searches of molecular surfaces against the functional site database. Here we describe the extension of our first trial by expanding the search database to whole heteroatom binding sites appearing within the Protein Data Bank (PDB) with the new analysis protocol. In addition, we have determined the similarity threshold line, by using 10 structure pairs with solved free and complex structures. Finally, we extensively applied our method to newly determined hypothetical proteins, including some without annotations, and evaluated the performance of our methods.
在后基因组测序时代,基于蛋白质三维结构来识别其生化功能成为了必要需求。配体结合是蛋白质的主要生化功能之一,因此识别配体及其结合位点是功能识别的起点。此前我们报道了首次基于分子表面与功能位点数据库的相似性搜索进行基于结构的功能预测的尝试。在此,我们描述通过使用新的分析协议将搜索数据库扩展到蛋白质数据库(PDB)中出现的所有杂原子结合位点来扩展首次尝试。此外,我们通过使用10对具有已解析的游离和复合物结构的结构对确定了相似性阈值线。最后,我们将我们的方法广泛应用于新确定的假设蛋白质,包括一些无注释的蛋白质,并评估了我们方法的性能。