SDADB: a functional annotation database of protein structural domains. (28th June 2018)

• Record Type: Journal Article
• Authors: Zeng, Cheng; Zhan, Weihua; Deng, Lei
• Is Part Of: Database. Volume 2018(2018)
• Publication Date: 2018-06-28
• Subjects: Biology -- Databases -- Periodicals; Bioinformatics -- Periodicals; 570.285
• DOI: 10.1093/database/bay064
• Languages: English
• ISSNs: 1758-0463

Abstract

Abstract: 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