Analysis and Optimization of C3 Photosynthetic Carbon Metabolism
BIBE '10 Proceedings of the 2010 IEEE International Conference on Bioinformatics and Bioengineering
On Designing Multicore-Aware Simulators for Biological Systems
PDP '11 Proceedings of the 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing
Modelling ammonium transporters in arbuscular mycorrhiza symbiosis
Transactions on computational systems biology XIII
Simulation techniques for the calculus of wrapped compartments
Theoretical Computer Science
On parallelizing on-line statistics for stochastic biological simulations
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
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This paper presents a methodology for identifying the kinetic parameters of a biological system and their relationships with the concentration variations of the species by means of in silico experiments. A nonlinear goal programming technique is employed to identify the kinetic parameters that best satisfy the biological hypothesis of the system behaviour. The simulations are performed on a stochastic simulator for the Calculus of Wrapped Compartments. The extraction of parameters with optimization techniques is usually applied to systems modeled by means of differential equations. Its application in a stochastic framework is rather new. The methodology may open a new path for the investigation of a broader class of biochemical systems (including those that cannot be easily modeled by differential equations) when in vitro experimental measurements are unavailable. The methodology is applied to model the nutrient exchanges in arbuscular mycorrhiza, the most wide-spread plant/fungus symbiosis focusing in particular to a newly discovered ammonium transporter: LjAMT2;2. This case study of ammonia and phosphate plant uptake from the fungus has been dissected in known and hypothetical mechanisms. The results of the analysis provide setting of recent experimental results of carrier LjAMT2;2 and support new insights into biological hypotheses to be put in place.