Please use this identifier to cite or link to this item: https://doi.org/10.1093/bib/bbn039
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dc.titleWeb-based applications for building, managing and analysing kinetic models of biological systems
dc.contributor.authorLee, D.-Y.
dc.contributor.authorSaha, R.
dc.contributor.authorKhan Yusufi, F.N.
dc.contributor.authorPark, W.
dc.contributor.authorKarimi, I.A.
dc.date.accessioned2014-10-09T07:05:53Z
dc.date.available2014-10-09T07:05:53Z
dc.date.issued2009
dc.identifier.citationLee, 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/10.1093/bib/bbn039
dc.identifier.issn14675463
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/90491
dc.description.abstractMathematical 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.
dc.sourceScopus
dc.subjectDynamic simulation
dc.subjectKinetic modelling
dc.subjectSystems biology
dc.subjectWeb-based applications
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1093/bib/bbn039
dc.description.sourcetitleBriefings in Bioinformatics
dc.description.volume10
dc.description.issue1
dc.description.page65-74
dc.identifier.isiut000262957900006
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