LGA: a method for finding 3D similarities in protein structures
LGA: a method for finding 3D similarities in protein structures
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DOI：
10.1093/nar/gkg571
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发表时间：
2003-07-01
影响因子：
14.9
通讯作者：
Zemla, A
中科院分区：
文献类型：
--
作者：
Zemla, A
我们提出的LGA（局部-全局比对）方法，旨在促进蛋白质结构或蛋白质结构片段的序列依赖和序列无关模式的比较。LGA结构对齐程序可作为在线服务在http://PredictionCenter.llnl.gov/local/lga上获得。LGA生成的数据可以成功地用于评分功能，以排名两个结构之间的相似性水平，并允许在分析许多蛋白质时进行结构分类。LGA还允许蛋白质结构的相似片段的聚类。
We present the LGA (Local-Global Alignment) method, designed to facilitate the comparison of protein structures or fragments of protein structures in sequence dependent and sequence independent modes. The LGA structure alignment program is available as an online service at http://PredictionCenter.llnl.gov/local/lga. Data generated by LGA can be successfully used in a scoring function to rank the level of similarity between two structures and to allow structure classification when many proteins are being analyzed. LGA also allows the clustering of similar fragments of protein structures.