database of patterns

Pattern databases have become vital tools for identifying distant relationships in sequences, and hence for predicting protein function and structure. The main drawback of such methods is the relatively small representation of proteins in trial samples at the time of their construction. Therefore, a negative result of an amino acid sequence comparison with such a databank forces a researcher to search for similarities in the original protein banks.模式数据库（Pattern database）已成为识别序列间远缘关联的关键工具，进而可用于预测蛋白质的功能与结构。此类方法的主要缺陷在于，其构建阶段的测试样本中蛋白质的代表性相对不足。因此，若通过此类数据库开展氨基酸序列比对得到阴性结果，研究人员便需在原始蛋白质数据库中检索相似序列。

搜集汇总

背景与挑战

背景概述

该模式数据库是识别序列中远距离关系、预测蛋白质功能与结构的关键工具。其局限性在于构建时蛋白质样本代表性较小，当氨基酸序列比对无结果时，研究人员需转向原始蛋白质库进行相似性搜索。