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 The NCBI Structure Group:
  Tools for discovery of sequence/function/structure associations
 
 
 

The NCBI Structure Group contributes to the broader NCBI effort to provide integrated access to previously disparate data through the Entrez retrieval system, which makes it possible to traverse from literature, to gene and protein sequence, function, 3D structures, and more. The illustration below provides an example, starting with a PubMed article about the human CLCN1 gene and Becker-type myotonia, then linking to the protein sequence, its conserved domains, and a related 3D structure.

To explore these paths interactively, open the PubMed record for PMID 7951242 shown below (or any other record of interest in PubMed or other Entrez databases), then open the "Links" menu in that record and select items of interest to begin traversing through the Entrez system. PubMed records associated with protein sequences will also have links to conserved domains and related structures, shedding light on the possible function and 3-D shape of the proteins.

Although the exact appearance and position of the links menu may vary from this image due to ongoing enhancements in the Entrez user interface, connections among previously disparate data will continue to be available through both "Links" menus as well as ads for related resources shown in the right margin of search results and database record displays.

 
Example of data integration in Entrez through its Links feature.  Starting with a single record in any Entrez database, you can use the Links menu to traverse to related data in other Entrez databases.  This can facilitate biological discovery through identifying associations among previously disparate data.
 
 
Integrated access to previously disparate data back to top
 

The NCBI Structure Group contributes to the broader NCBI effort to provide integrated access to previously disparate data through the Entrez retrieval system. Identification of relationships among those data in turn can lead to new discoveries.

This system was developed because the study of a biological question, such as the molecular mechanism underlying a human disease, is often approached from many angles by many different laboratories -- some might focus on gene identification and sequencing, while others might focus on analyzing protein function and three-dimensional structure, and yet others might study associated genetic variations, gene expression profiles, or phenotypes. Because each group submits its data independently of the others to a public database, the resultant distinct but related data sets may be scattered across a variety of databases.

Recognizing that the sum of the total knowledge is great than any one part, Entrez brings a wide range of data types from varying sources into a single search system and identifies relationships among records within an individual database and across databases. These associations are presented as Links in Entrez search results displays and in individual database records. Therefore, once you retrieve one data element in Entrez, such as a PubMed record for an article that reports the sequencing of a disease gene, the corresponding sequence data and much more are one click away, as shown in the illustration above.

 

Further reading:

  Ostell, J. The Entrez Search and Retrieval System. In The NCBI Handbook [Internet], National Library of Medicine (US), National Center for Biotechnology Information, Bethesda, MD, Chapter 15, 2002 Oct. 9 [revised 2003 Aug. 13]. [cited 2008 Oct 02]. Available from http://www.ncbi.nlm.nih.gov/books/bv.fcgi?rid=handbook.chapter.ch15 in the Entrez Bookshelf (http://www.ncbi.nlm.nih.gov/sites/entrez?db=books)
  Geer RC, Sayers EW. Entrez: making use of its power. Brief Bioinform.:4(2):179-84, 2003 Jun.  (summary and full text also accessible from http://www.ncbi.nlm.nih.gov/Entrez/tutor.html)
 
 
 
 
 
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