Skip Navigation

This Article
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow FREE Full Text (Screen PDF)
Right arrow An erratum has been published
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (8)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Bukhman, Y. V.
Right arrow Articles by Skolnick, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bukhman, Y. V.
Right arrow Articles by Skolnick, J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Bioinformatics Vol. 17 no. 5 2001
Pages 468-478
© 2001 Oxford University Press

BioMolQuest: integrated database-based retrieval of protein structural and functional information

Yury V. Bukhman and Jeffrey Skolnick *

Laboratory of Computational Genomics, Donald Danforth Plant Science Center, 893 N. Warson Rd, St Louis, MO 63141, USA

Received on July 12, 2000 ; revised on November 13, 2000 ; accepted on January 22, 2001

Motivation: Information about a particular protein or protein family is usually distributed among multiple databases and often in more than one entry in each database. Retrieval and organization of this information can be a laborious task. This task is complicated even further by the existence of alternative terms for the same concept.

Results: The PDB, SWISS-PROT, ENZYME, and CATH databases have been imported into a combined relational database, BioMolQuest. A powerful search engine has been built using this database as a back end. The search engine achieves significant improvements in query performance by automatically utilizing cross-references between the legacy databases. The results of the queries are presented in an organized, hierarchical way.

Availability: http://bioinformatics.danforthcenter.org/yury/public/home.html. Unavailable for commercial users.

Contact: skolnick{at}danforthcenter.org

* To whom correspondence should be addressed.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Proc. Natl. Acad. Sci. USAHome page
D. Kihara, H. Lu, A. Kolinski, and J. Skolnick
TOUCHSTONE: An ab initio protein structure prediction method that uses threading-based tertiary restraints
PNAS, August 10, 2001; (2001) 181328398.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
D. Kihara, H. Lu, A. Kolinski, and J. Skolnick
TOUCHSTONE: An ab initio protein structure prediction method that uses threading-based tertiary restraints
PNAS, August 28, 2001; 98(18): 10125 - 10130.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.