FUNCTION DIVERGENCE IN PROTEIN FAMILIES

拟议研究的目标是研究功能相似性。 以及具有广泛相似结构的蛋白质之间的差异，但 没有可识别的序列相似性。自动结构比对 程序，与新一代折叠预测算法一起， 为我们提供了许多蛋白质的例子，这些蛋白质可以，或者很可能 属于同一结构类。同时，如此宽泛 结构相似性可能与或可能不与任何功能 相似之处。将建立蛋白质结构和功能数据库， 允许搜索具有特定结构和结构的蛋白质组 功能特点。然后对这些群体进行分析，以确定 序列中结构和功能上重要的区域 将它们与结构和功能相似的级别进行匹配/ 分歧。比较模型和结构的结合 蛋白质结构的分析将被用于并锻造成一种 一套标准化的理论工具和程序，可以 使用线程和序列分析进行预测，但其序列 分歧足够大，可以预期会出现重大的功能差异。 这个项目中描述的研究的总体目标是 了解序列/结构/功能关系或 选定的蛋白质达到了功能的详细预测的水平 而新测序的蛋白质的作用模式可以完成。 随着来自大规模基因组的新序列的洪流 对项目进行排序，它正在确定这些项目可能的功能 使这些数据变得如此重要的蛋白质。

The goal of the proposed research is to study functional similarities and differences between proteins with broadly similar structures, but no recognizable sequence similarity. Automated structure comparison programs, together with a new generation of fold prediction algorithms, provide us with many examples of proteins that do, or are likely to, belong to the same structural class. At the same time, such broad structural similarity may or may not be connected to any functional similarity. A database of protein structure and function will be built, allowing a search for groups of proteins with certain structural and functional features. Such groups will then be analyzed to identify structurally and functionally important regions in the sequence and to match them with levels of structural and functional similarity/ divergence. A combination of comparative modeling and structure analysis of protein structures will be used and forged into a standardized set of theoretical tools and procedures that could be predicted using threading and sequence analysis, but whose sequence divergence is large enough to expect significant functional differences. The overall goal of the research described in this project is to bring an understanding of the sequence/structure/function relationship or selected proteins to a level where the detailed predictions of function and mode of action for newly sequenced proteins could be accomplished. With the flood of new sequences coming from large scale genome sequencing projects, it is identifying the possible function of these proteins that would make these data so important.