Faculty of Biological and Environmental Sciences and Institute of Biotechnology, University of Helsinki, Helsinki, Finland.
Methods Mol Biol. 2020;2112:29-42. doi: 10.1007/978-1-0716-0270-6_3.
The exponential growth in the number of newly solved protein structures makes correlating and classifying the data an important task. Distance matrix alignment (Dali) is used routinely by crystallographers worldwide to screen the database of known structures for similarity to newly determined structures. Dali is easily accessible through the web server ( http://ekhidna.biocenter.helsinki.fi/dali ). Alternatively, the program may be downloaded and pairwise comparisons performed locally on Linux computers.
新解决的蛋白质结构数量呈指数级增长,这使得相关和分类数据成为一项重要任务。晶体学家们在全球范围内经常使用距离矩阵比对(Dali)来筛选已知结构数据库,以寻找与新确定结构相似的结构。Dali 可以通过网络服务器(http://ekhidna.biocenter.helsinki.fi/dali)轻松访问。或者,可以下载该程序并在 Linux 计算机上本地执行两两比较。