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Narrative-based computational modelling of the Gp130/JAK/STAT signalling pathway |
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| Authors: | Maria Luisa Guerriero Anna Dudka Nicholas Underhill-Day John K Heath Corrado Priami |
| Affiliation: | 1. Laboratory for Foundations of Computer Science, School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, EH8 9AB, Edinburgh, UK 2. CRUK Growth Factor Group, School of Biosciences, University of Birmingham, Edgbaston, B15 2TT, UK 3. Dip. di Ingegneria e Scienza dell'Informazione, Università di Trento, Via Sommarive 14, 38100, Povo (Trento), Italy 4. The Microsoft Research – University of Trento Centre for Computational and Systems Biology, Piazza Manci 17, 38100, Povo (Trento), Italy |
| Abstract: | BackgroundAppropriately formulated quantitative computational models can support researchers in understanding the dynamic behaviour of biological pathways and support hypothesis formulation and selection by "in silico" experimentation. An obstacle to widespread adoption of this approach is the requirement to formulate a biological pathway as machine executable computer code. We have recently proposed a novel, biologically intuitive, narrative-style modelling language for biologists to formulate the pathway which is then automatically translated into an executable format and is, thus, usable for analysis via existing simulation techniques. |
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