Protein function and module shuffling

本研究的目的是在蛋白质模块知识的基础上发展一种预测蛋白质组功能的方法，由于模块是由蛋白质的三维结构定义的，所以它的构象和功能在进化过程中是保守的。因此，在基因组功能预测中，使用模块信息比使用氨基酸序列签名或基序更有价值。我们通过模块分类推导了序列模式信息，发展了3D-Key Note方法，并将其应用于各种物种基因组序列的功能预测。我们对一个基因的预测在蓝藻聚球藻中得到了实验验证。特别是，我们将我们的方法应用于人类基因组的注释。作为(URL:http://daisy.nagahama-i-bio.ac.jp/golab/hetpdbnavi.html)，(URL:http://daisy.nagahama-i-bio.ac.jp/famsbase/index.html)，(URL:http://daisy.nagahama-i-bio.ac.jp/keynote/AK074299.html).项目的产品，我们发表了多篇论文和数据库

The aim of this research project was to develop a method to predict function of proteome on the bases of knowledge of protein module.Since module is defined by using three-dimensional structure of proteins, its conformation and function are conserved during evolutionary processes. Thus, it is valuable, to use module information than to use amino acid sequence signature or motifs in prediction of genome function. We have deduced sequence pattern information by classification of modules, developed 3D-key note method and applied it to predict function of genome sequences of various species. Our prediction for a gene was proved experimentally in cyanobacterium Synechocystis. Particularly, we applied our method to annotate human genome. We published several papers and data bases as products of this project (URL:http://daisy.nagahama-i-bio.ac.jp/golab/hetpdbnavi.html), (URL:http://daisy.nagahama-i-bio.ac.jp/famsbase/index.html), (URL:http://daisy.nagahama-i-bio.ac.jp/keynote/AK074299.html).