Systematic integration of experimental data and models in systems biology

Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of systems biology models is dependent upon data integration processes involving the interoperation of data and analytical resources. Results: Taverna workflows have been developed for the automated assembly of quantitative parameterised metabolic networks in the Systems Biology Markup Language (SBML). A SBML model is built in a systematic fashion by the workflows which starts with the construction of a qualitative network using data from a MIRIAMcompliant genome-scale model of yeast metabolism. This is followed by parameterisation of the SBML model with experimental data from two repositories, the SABIO-RK enzyme kinetics database and a database of quantitative experimen...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Peter Li, Joseph O. Dada, Daniel Jameson, Irena Spasic, Neil Swainston, Kathleen Carroll, Warwick B. Dunn, Farid Khan, Naglis Malys, Hanan L. Messiha, Evangelos Simeonidis, Dieter Weichart, Catherine Winder, Jill Wishart, David S. Broomhead, Carole A. Goble, Simon J. Gaskell, Douglas B. Kell, Hans V. Westerhoff, Pedro Mendes, Norman W. Paton
• Keywords: BMCBI 2010, Business, Mathematical Models, Systems Biology, Workflows