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doi:10.1093/nar/gkl952 MMDB: annotating protein sequences with Entrez’s 3D-structure database

By Yanli Wang, Kenneth J. Addess, Jie Chen, Lewis Y. Geer, Jane He, Siqian He, Shennan Lu, Thomas Madej, Aron Marchler-bauer, Paul A. Thiessen, Naigong Zhang and Stephen H. Bryant

Abstract

Three-dimensional (3D) structure is now known for a large fraction of all protein families. Thus, it has become rather likely that one will find a homolog with known 3D structure when searching a sequence database with an arbitrary query sequence. Depending on the extent of similarity, such neighbor relationships may allow one to infer biological function and to identify functional sites such as binding motifs or catalytic centers. Entrez’s 3D-structure database, the Molecular Modeling Database (MMDB), provides easy access to the richness of 3D structure data and its large potential for functional annotation. Entrez’s search engine offers several tools to assist biologist users: (i) links between databases, such as between protein sequences and structures, (ii) precomputed sequence and structure neighbors, (iii) visualization of structure and sequence/structure alignment. Here, we describe an annotation service that combines some of these tools automatically, Entrez’s ‘Related Structure ’ links. For all proteins in Entrez, similar sequences with known 3D structure are detected by BLAST and alignments are recorded. The ‘Related Structure ’ service summarizes this information and presents 3D views mapping sequence residues onto all 3D structures available in MMD

Year: 2006
OAI identifier: oai:CiteSeerX.psu:10.1.1.333.5127
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