Please use this identifier to cite or link to this item: https://doi.org/bib/bbn039
Title: Web-based applications for building, managing and analysing kinetic models of biological systems
Authors: Lee, D.-Y. 
Saha, R.
Khan Yusufi, F.N.
Park, W.
Karimi, I.A. 
Keywords: Dynamic simulation
Kinetic modelling
Systems biology
Web-based applications
Issue Date: 2009
Source: Lee, D.-Y., Saha, R., Khan Yusufi, F.N., Park, W., Karimi, I.A. (2009). Web-based applications for building, managing and analysing kinetic models of biological systems. Briefings in Bioinformatics 10 (1) : 65-74. ScholarBank@NUS Repository. https://doi.org/bib/bbn039
Abstract: 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. © The Author 2008. Published by Oxford University Press.
Source Title: Briefings in Bioinformatics
URI: http://scholarbank.nus.edu.sg/handle/10635/64792
ISSN: 14675463
DOI: bib/bbn039
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