Skip Navigation


Briefings in Bioinformatics Advance Access originally published online on September 19, 2008
Briefings in Bioinformatics 2009 10(1):65-74; doi:10.1093/bib/bbn039
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
10/1/65    most recent
bbn039v1
Right arrow Alert me when this article is cited
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 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 arrowRequest Permissions
Google Scholar
Right arrow Articles by Lee, D.-Y.
Right arrow Articles by Karimi, I. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lee, D.-Y.
Right arrow Articles by Karimi, I. A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2008. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Web-based applications for building, managing and analysing kinetic models of biological systems

Dong-Yup Lee, Rajib Saha, Faraaz Noor Khan Yusufi, Wonjun Park and Iftekhar A. Karimi

Corresponding author. Dong-Yup Lee, Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576. Tel: +65 6478 8900; Fax: +65 6778 1936; E-mail: cheld{at}nus.edu.sg

Mathematical modelling and computational analysis play an essential role in improving our capability to elucidate the functions and characteristics of complex biological systems such as metabolic, regulatory and cell signalling pathways. The modelling and concomitant simulation render it possible to predict the cellular behaviour of systems under various genetically and/or environmentally perturbed conditions. This motivates systems biologists/bioengineers/bioinformaticians to develop new tools and applications, allowing non-experts to easily conduct such modelling and analysis. However, among a multitude of systems biology tools developed to date, only a handful of projects have adopted a web-based approach to kinetic modelling. In this report, we evaluate the capabilities and characteristics of current web-based tools in systems biology and identify desirable features, limitations and bottlenecks for further improvements in terms of usability and functionality. A short discussion on software architecture issues involved in web-based applications and the approaches taken by existing tools is included for those interested in developing their own simulation applications.

Keywords: systems biology, web-based applications, kinetic modelling, dynamic simulation

Submitted: April 22, 2008. Received (in revised form): August 15, 2008.


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
BioinformaticsHome page
T.-S. Jung, H. C. Yeo, S. G. Reddy, W.-S. Cho, and D.-Y. Lee
WEbcoli: an interactive and asynchronous web application for in silico design and analysis of genome-scale E.coli model
Bioinformatics, November 1, 2009; 25(21): 2850 - 2852.
[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.