Han Areum, Kang Hyo Jin, Cho Yoobok, Lee Sunghoon, Kim Young Joo, Gong Sungsam
National Genome Information Center (NGIC), Korea Research Institute of Bioscience and Biotechnology, 52 Eoeun-dong, Yuseong-guDaejeon 305-333, Korea.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W642-4. doi: 10.1093/nar/gkl323.
The single nucleotide polymorphisms (SNPs) in conserved protein regions have been thought to be strong candidates that alter protein functions. Thus, we have developed SNP@Domain, a web resource, to identify SNPs within human protein domains. We annotated SNPs from dbSNP with protein structure-based as well as sequence-based domains: (i) structure-based using SCOP and (ii) sequence-based using Pfam to avoid conflicts from two domain assignment methodologies. Users can investigate SNPs within protein domains with 2D and 3D maps. We expect this visual annotation of SNPs within protein domains will help scientists select and interpret SNPs associated with diseases. A web interface for the SNP@Domain is freely available at http://snpnavigator.net/ and from http://bioportal.net/.
保守蛋白区域中的单核苷酸多态性（SNP）被认为是改变蛋白功能的有力候选因素。因此，我们开发了一个网络资源SNP@Domain，用于识别人类蛋白结构域内的SNP。我们使用基于蛋白质结构以及基于序列的结构域对来自dbSNP的SNP进行注释：（i）基于结构的使用SCOP，（ii）基于序列的使用Pfam，以避免两种结构域分配方法产生冲突。用户可以通过二维和三维图谱研究蛋白结构域内的SNP。我们期望这种对蛋白结构域内SNP的可视化注释将有助于科学家选择和解释与疾病相关的SNP。SNP@Domain的网络界面可从http://snpnavigator.net/和http://bioportal.net/免费获取。
