Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan

4 Issues per year


CiteScore 2017: 0.77

SCImago Journal Rank (SJR) 2017: 0.336

Open Access
Online
ISSN
1613-4516
See all formats and pricing
More options …
Volume 3, Issue 2

Issues

MILAN – A medical information-system linking agents to metabolic networks

B. Prins
  • Corresponding author
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, Universitätsstraße 25, D-33615 Bielefeld, Germany
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ R. Hofestädt
  • Bielefeld University, Faculty of Technology, Bioinformatics Department, Universitätsstraße 25, D-33615 Bielefeld, Germany
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2006-45

Summary

The genome, the protein-biosynthesis and the metabolism constitute a complex, strongly linked system. The complete functionality of this system is not entirely understood yet. Especially pharmacologists and medical doctors are interested to know how the system works regarding the influence of medications (Drug-Pointing). In the last thirty years biochemical research delivered a huge amount of relevant data for this field. The problem is, that all this data is highly distributed in thousands of databases which are just partly interconnected. Gathering and interconnecting this large amount of distributed data by hand significantly slows down the research process. Hence it is vitally important to create tools in terms of information-systems, which support the process of understanding through automatic data-integration and analysis. In this paper we would like to introduce our approach of a corresponding information-system. MILAN is an extensible datawarehouse framework, which has already integrated about 7.7 million medical publication-abstracts as well as metabolic pathways and information about enzymes, ligands, agents and pharmaceuticals from a collection of major biochemical databases. The system provides a set of functionalities to show where the metabolism is affected by a certain drug and instantly displays the most relevant publications for the particular case. Future development will focus on the integration of more databases and the development of additional functions like detection of side-effects and drug-interactions.

About the article

Published Online: 2016-10-18

Published in Print: 2006-12-01


Citation Information: Journal of Integrative Bioinformatics, Volume 3, Issue 2, Pages 282–294, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2006-45.

Export Citation

© 2006 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

Comments (0)

Please log in or register to comment.
Log in