Journal of Chemical Information & Computer Sciences
Journal of Chemical Information & Computer Sciences
Journal of Chemical Information & Computer Sciences
Journal of Chemical Information & Computer Sciences
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Explicit collision simulation of chemical reactions in a graph based artificial chemistry
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Visual network analysis of dynamic metabolic pathways
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
In silica evolution of early metabolism
Artificial Life
A sequence-to-function map for ribozyme-catalyzed metabolisms
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part II
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The origin and evolution of metabolism is an interesting field of research with many unsolved questions. Simulation approaches, even though mostly very abstract and specific, have proven to be helpful in explaining properties and behavior observed in real world metabolic reaction networks, such as the occurrence of hub-metabolites. We propose here a more complex and intuitive graph-based model combined with an artificial chemistry. Instead of differential equations, enzymes are represented as graph rewriting rules and reaction rates are derived from energy calculations of the involved metabolite graphs. The generated networks were shown to possess the typical properties and further studied using our metabolic pathway analysis tool implemented for the observation of system properties such as robustness and modularity. The analysis of our simulations also leads to hypotheses about the evolution of catalytic molecules and its effect on the emergence of the properties mentioned above.