Information Processing Letters
PathSim visualizer: an Information-Rich Virtual Environment framework for systems biology
Proceedings of the ninth international conference on 3D Web technology
COPASI---a COmplex PAthway SImulator
Bioinformatics
Theoretical Computer Science
Bio-PEPA: A framework for the modelling and analysis of biological systems
Theoretical Computer Science
Efficient, correct simulation of biological processes in the stochastic pi-calculus
CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
Immune system simulation online
Bioinformatics
Rule-based modelling of cellular signalling
CONCUR'07 Proceedings of the 18th international conference on Concurrency Theory
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The JAK (Janus kinase)-STAT (Signal transducer and activator of transcription) signal transduction pathway is a cascade of downstream cellular events initiated from outside of the cell through the cell surface to the DNA in the nucleus, causing transcription. The conventional modeling approach for signal transduction pathways involves solving ordinary differential equations (ODEs). We study here a computational alternative. We build two models of 46 reactions in the JAK-STAT pathway and compare the results. We implement a deterministic mathematical model using the ODEs solver CO-PASI, and we build a stochastic computational model using the Stochastic Pi Machine (SPiM). Since dysregulation in the functionality of JAK-STAT pathway results in immune deficiency syndrome and cancers, like lymphomas, leukemia and breast cancer, we believe that models like this have the potential to contribute to cancer research.