Wallace A C, Laskowski R A, Thornton J M
Department of Biochemistry and Molecular Biology, University College, London, England.
Protein Sci. 1996 Jun;5(6):1001-13. doi: 10.1002/pro.5560050603.
It is well established that sequence templates (e.g., PROSITE) and databases are powerful tools for identifying biological function and tertiary structure for an unknown protein sequence. Here we describe a method for automatically deriving 3D templates from the protein structures deposited in the Brookhaven Protein Data Bank. As an example, we describe a template derived for the Ser-His-Asp catalytic triad found in the serine proteases and triacylglycerol lipases. We find that the resultant template provides a highly selective tool for automatically differentiating between catalytic and noncatalytic Ser-His-Asp associations. When applied to nonproteolytic proteins, the template picks out two "non-esterase" catalytic triads that may be of biological relevance. This suggests that the development of databases of 3D templates, such as those that currently exist for protein sequence templates, will help identify the functions of new protein structures as they are determined and pinpoint their functionally important regions.
序列模板(如PROSITE)和数据库是识别未知蛋白质序列的生物学功能和三级结构的强大工具,这一点已得到充分证实。在此,我们描述一种从布鲁克海文蛋白质数据库中存储的蛋白质结构自动推导三维模板的方法。作为一个例子,我们描述了一个为丝氨酸蛋白酶和三酰甘油脂肪酶中发现的丝氨酸-组氨酸-天冬氨酸催化三联体推导的模板。我们发现,所得模板为自动区分催化性和非催化性丝氨酸-组氨酸-天冬氨酸关联提供了一种高度选择性的工具。当应用于非蛋白水解蛋白时,该模板识别出两个可能具有生物学相关性的“非酯酶”催化三联体。这表明,三维模板数据库的开发,如目前存在的蛋白质序列模板数据库,将有助于在新蛋白质结构被确定时识别其功能,并精确指出其功能重要区域。