Su S, Cook D J, Holder L B
University of Texas at Arlington, USA.
Pac Symp Biocomput. 1999:190-201. doi: 10.1142/9789814447300_0019.
In recent years, there has been an explosive amount of molecular biology information obtained and deposited in various databases. Identifying and interpreting interesting patterns from this massive amount of information has become an essential component in directing further molecular biology research. The goal of this research is to discover structural regularities in protein sequences by applying the Subdue discovery system to databases found in the Brookhaven Protein Data Bank. In this paper we report the results of applying Subdue to several classes of protein structures and discuss the potential significance of these results to the study of proteins.
近年来，已获取了大量分子生物学信息，并存储于各种数据库中。从这海量信息中识别并解读有趣的模式，已成为指导进一步分子生物学研究的重要组成部分。本研究的目标是通过将Subdue发现系统应用于布鲁克海文蛋白质数据库中的数据库，来发现蛋白质序列中的结构规律。在本文中，我们报告了将Subdue应用于几类蛋白质结构的结果，并讨论了这些结果对蛋白质研究的潜在意义。
