scholarly journals Automated Database Mediation Using Ontological Metadata Mappings

2009 ◽  
Vol 16 (5) ◽  
pp. 723-737 ◽  
Author(s):  
L. Marenco ◽  
R. Wang ◽  
P. Nadkarni
2012 ◽  
Vol 56 (7) ◽  
pp. 3481-3491 ◽  
Author(s):  
Michael Widmann ◽  
Jürgen Pleiss ◽  
Peter Oelschlaeger

ABSTRACTMetallo-β-lactamases (MBLs) are enzymes that hydrolyze β-lactam antibiotics, resulting in bacterial resistance to these drugs. These proteins have caused concerns due to their facile transference, broad substrate spectra, and the absence of clinically useful inhibitors. To facilitate the classification, nomenclature, and analysis of MBLs, an automated database system was developed, the Metallo-β-Lactamase Engineering Database (MBLED) (http://www.mbled.uni-stuttgart.de). It contains information on MBLs retrieved from the NCBI peptide database while strictly following the nomenclature by Jacoby and Bush (http://www.lahey.org/Studies/) and the generally accepted class B β-lactamase (BBL) standard numbering scheme for MBLs. The database comprises 597 MBL protein sequences and enables systematic analyses of these sequences. A systematic analysis employing the database resulted in the generation of mutation profiles of assigned IMP- and VIM-type MBLs, the identification of five MBL protein entries from the NCBI peptide database that were inconsistent with the Jacoby and Bush nomenclature, and the identification of 15 new IMP candidates and 9 new VIM candidates. Furthermore, the database was used to identify residues with high mutation frequencies and variability (mutation hot spots) that were unexpectedly distant from the active site located in the ββ sandwich: positions 208 and 266 in the IMP family and positions 215 and 258 in the VIM family. We expect that the MBLED will be a valuable tool for systematically cataloguing and analyzing the increasing number of MBLs being reported.


2017 ◽  
Vol 1 (1) ◽  
pp. 34
Author(s):  
Feri Sulianta

The development of information technology nowadays encourages users to use the software appropriately so that commercial software can be maximally empowered that contribute to the efficiency and effectiveness of the job. To support its work, users use Microsoft's Microsof Excel Office Automation System worksheet commonly used by end users for clerical, repetitive and independent work. Microsoft Excel applications are generally used for office worker, clerical computation and users generally use only a portion of the features of some features owned by the application. In this case, the user can maximize the ability of Excel by creating an interactive pseudo database using only Microsoft Excel, so users can organize data with automated database schema. It is intended for time efficiency and also improves the data security factor of human error in handling data.


Author(s):  
Morad Hajji ◽  
Mohammed Qbadou ◽  
Khalifa Mansouri

Ontologies are spreading more and more in the field of information technologies as a privileged solution allowing the formalization of knowledge. The theoretical model of ontologies is most promising. They are increasingly ubiquitous given the benefits they present. Despite the proliferation of research proposing approaches dedicated to the design of a database from an ontology, the tools to design a database from an ontology are rare or inaccessible. Thus, in this contribution, we present our approach for the development of an Eclipse Plug-in, in order to automatically generate a conceptual model of a relational database from an ontology. To evaluate the usefulness of our approach, we used our resulting Eclipse Plug-in to automatically generate a conceptual model of a relational database from an ontology, customize it, and automatically generate the corresponding SQL script for Data Definition. The results of this experiment showed that our Plug-in constitutes a concretization of our approach and a means of automatic translation from the ontological model to the relational model.


10.1142/7122 ◽  
2010 ◽  
Author(s):  
Rana Farid Mikhail ◽  
Donald Berndt ◽  
Abraham Kandel

Author(s):  
Luiz A.P. Paes Leme ◽  
Marco A. Casanova ◽  
Karin K. Breitman ◽  
Antonio L. Furtado

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