Y V Bukhman1, J Skolnick. 1. Laboratory of Computational Genomics, Donald Danforth Plant Science Center, 893 N. Warson Rd, St Louis, MO 63141, USA.
Abstract
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.
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.
Authors: Silke Trissl; Kristian Rother; Heiko Müller; Thomas Steinke; Ina Koch; Robert Preissner; Cornelius Frömmel; Ulf Leser Journal: BMC Bioinformatics Date: 2005-03-31 Impact factor: 3.169