METALGEN DB - METABOLISM LINKED TO THE GENOME OF ESCHERICHIA-COLI, A GRAPHICS-ORIENTED DATABASE

Citation
T. Rouxel et al., METALGEN DB - METABOLISM LINKED TO THE GENOME OF ESCHERICHIA-COLI, A GRAPHICS-ORIENTED DATABASE, Computer applications in the biosciences, 9(3), 1993, pp. 315-324
Citations number
17
Categorie Soggetti
Mathematical Methods, Biology & Medicine","Computer Sciences, Special Topics","Computer Applications & Cybernetics","Biology Miscellaneous
ISSN journal
02667061
Volume
9
Issue
3
Year of publication
1993
Pages
315 - 324
Database
ISI
SICI code
0266-7061(1993)9:3<315:MD-MLT>2.0.ZU;2-M
Abstract
The table of 'biochemical pathways' published by Boehringer is conside red as the most exhaustive document dealing with intermediary metaboli sm. The present work consisted of constructing a database in which is collected everything known to date about intermediary metabolism: meta bolic pathways, bioreactions, metabolites, enzymatic activities, genes and regulation. Data on genes make it possible to establish a link wi th existing computer structures specialized for genomic sequences. The present structure of the database presented here consists of three en vironments. The first environment is graphic; it is modeled upon the B oehringer table, but is more convenient to use. The second environment provides the user with all kinds of manipulations of data (entries, c orrections, deletions, consistency, limiting redundancy, etc.). These operations either are automatic or depend on a user-friendly interface (menus selected with the mouse) and so allow biologists at all levels to use the database and to develop it for their own particular needs. Finally, the third environment offers various procedures that make it possible to carry out multicriteria research on all the data in the d atabase at once. This database can thus be substituted for the Boehrin ger table as a standard reference. It is also a tool that can be used to develop information systems not only in the domain of metabolism bu t also in the study of genomes (modeling, analysis of data, prediction s, etc.).