Hetherington, J; Bogle, IDL; Saffrey, P; Margoninski, O; Li, L; Rey, MV; ... Ashmore, J; + view all Hetherington, J; Bogle, IDL; Saffrey, P; Margoninski, O; Li, L; Rey, MV; Yamaji, S; Baigent, S; Page, K; Seymour, RM; Finkelstein, A; Warner, A; Ashmore, J; - view fewer (2007) Addressing the challenges of multiscale model management in systems biology. In: Computers and Chemical Engineering. (pp. 962 - 979).
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Mathematical and computational modelling are emerging as important techniques for studying the behaviour of complex biological systems. We argue that two advances are necessary to properly leverage these techniques: firstly, the ability to integrate models developed and executed on separate tools, without the need for substantial translation and secondly, a comprehensive system for storing and man-ageing not only the models themselves but also the parameters and tools used to execute those models and the results they produce. A framework for modelling with these features is described here. We have developed of a suite of XML-based services used for the storing and analysis of models, model parameters and results, and tools for model integration. We present these here, and evaluate their effectiveness using a worked example based on part of the hepatocyte glycogenolysis system. © 2006 Elsevier Ltd. All rights reserved.
|Title:||Addressing the challenges of multiscale model management in systems biology|
|UCL classification:||UCL > Professional Services > Information Services Division > Research IT Services > Research Comp and Facilitating Services|
UCL > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > VP Research
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