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Nucleic Acids Research, 2002, Vol. 30, No. 1 249-252
© 2002 Oxford University Press

MMDB: Entrez’s 3D-structure database

Yanli Wang, John B. Anderson, Jie Chen, Lewis Y. Geer, Siqian He, David I. Hurwitz, Cynthia A. Liebert, Thomas Madej, Gabriele H. Marchler, Aron Marchler-Bauer, Anna R. Panchenko, Benjamin A. Shoemaker, James S. Song, Paul A. Thiessen, Roxanne A. Yamashita and Stephen H. Bryant*

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA

Three-dimensional structures are now known within many protein families and it is quite likely, in searching a sequence database, that one will encounter a homolog with known structure. The goal of Entrez’s 3D-structure database is to make this information, and the functional annotation it can provide, easily accessible to molecular biologists. To this end Entrez’s search engine provides three powerful features. (i) Sequence and structure neighbors; one may select all sequences similar to one of interest, for example, and link to any known 3D structures. (ii) Links between databases; one may search by term matching in MEDLINE, for example, and link to 3D structures reported in these articles. (iii) Sequence and structure visualization; identifying a homolog with known structure, one may view molecular-graphic and alignment displays, to infer approximate 3D structure. In this article we focus on two features of Entrez’s Molecular Modeling Database (MMDB) not described previously: links from individual biopolymer chains within 3D structures to a systematic taxonomy of organisms represented in molecular databases, and links from individual chains (and compact 3D domains within them) to structure neighbors, other chains (and 3D domains) with similar 3D structure. MMDB may be accessed at http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=Structure.

* To whom correspondence should be addressed. Tel: +1 301 435 7792; Fax: +1 301 480 9241; Email: bryant{at}ncbi.nlm.nih.gov


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