Zhang Chao, Kim Sung-Hou
Department of Chemistry, Lawrence Berkeley National Laboratory, University of California at Berkeley, Berkeley, CA 94720, USA.
Curr Opin Chem Biol. 2003 Feb;7(1):28-32. doi: 10.1016/s1367-5931(02)00015-7.
The unprecedented increase in the number of new protein sequences arising from genomics and proteomics highlights directly the need for methods to rapidly and reliably determine the molecular and cellular functions of these proteins. One such approach, structural genomics, aims to delineate the total repertoire of protein folds, thereby providing three-dimensional portraits for all proteins in a living organism and to infer molecular functions of the proteins. The goal of obtaining protein structures on a genomic scale has motivated the development of high-throughput technologies for macromolecular structure determination, which have begun to produce structures at a greater rate than previously possible. These new structures have revealed many unexpected functional and evolution relationships that were hidden at the sequence level.
基因组学和蛋白质组学产生的新蛋白质序列数量空前增加，这直接凸显了对快速、可靠地确定这些蛋白质分子和细胞功能的方法的需求。结构基因组学就是这样一种方法，其旨在描绘蛋白质折叠的全部种类，从而为生物体中的所有蛋白质提供三维图像，并推断蛋白质的分子功能。在基因组规模上获得蛋白质结构的目标推动了用于大分子结构测定的高通量技术的发展，这些技术已开始以比以前更快的速度产生结构。这些新结构揭示了许多隐藏在序列水平的意想不到的功能和进化关系。
