School of Software, Central South University, Changsha 410075, China.
School of Electronics and Computer Science, Zhejiang Wanli University, Ningbo 315100, China.
Database (Oxford). 2018 Jan 1;2018. doi: 10.1093/database/bay064.
Annotating functional terms with individual domains is essential for understanding the functions of full-length proteins. We describe SDADB, a functional annotation database for structural domains. SDADB provides associations between gene ontology (GO) terms and SCOP domains calculated with an integrated framework. GO annotations are assigned probabilities of being correct, which are estimated with a Bayesian network by taking advantage of structural neighborhood mappings, SCOP-InterPro domain mapping information, position-specific scoring matrices (PSSMs) and sequence homolog features, with the most substantial contribution coming from high-coverage structure-based domain-protein mappings. The domain-protein mappings are computed using large-scale structure alignment. SDADB contains ontological terms with probabilistic scores for more than 214 000 distinct SCOP domains. It also provides additional features include 3D structure alignment visualization, GO hierarchical tree view, search, browse and download options.Database URL: http://sda.denglab.org.
为了理解全长蛋白质的功能,为功能术语标注各个结构域是至关重要的。我们描述了 SDADB,这是一个结构域功能注释数据库。SDADB 提供了通过集成框架计算的基因本体 (GO) 术语和 SCOP 结构域之间的关联。GO 注释被分配了正确的概率,这些概率是通过利用结构邻域映射、SCOP-InterPro 结构域映射信息、位置特异性评分矩阵 (PSSM) 和序列同源特征,利用基于结构的高覆盖率结构域-蛋白质映射信息,利用贝叶斯网络进行估计的。使用大规模结构比对计算结构域-蛋白质映射。SDADB 包含超过 214000 个独特 SCOP 结构域的具有概率评分的本体论术语。它还提供了其他功能,包括 3D 结构比对可视化、GO 层次树视图、搜索、浏览和下载选项。数据库 URL:http://sda.denglab.org。