%0 Journal Article %1 Kauffman1969 %A Kauffman, S. %D 1969 %J Journal of Theoretical Biology %K boolean-dynamics gene-networks graphs networks regulatory-networks %N 3 %P 437--467 %R 10.1016/0022-5193(69)90015-0 %T Metabolic stability and epigenesis in randomly constructed genetic nets %V 22 %X Proto-organisms probably were randomly aggregated nets of chemical reactions. The hypothesis that contemporary organisms are also randomly constructed molecular automata is examined by modeling the gene as a binary (on-off) device and studying the behavior of large, randomly constructed nets of these binary ” genes”. The results suggest that, if each ” gene” is directly affected by two or three other ” genes”, then such random nets: behave with great order and stability; undergo behavior cycles whose length predicts cell replication time as a function of the number of genes per cell; possess different modes of behavior whose number per net predicts roughly the number of cell types in an organism as a function of its number of genes; and under the stimulus of noise are capable of differentiating directly from any mode of behavior to at most a few other modes of behavior. Cellular differentation is modeled as a Markov chain among the modes of behavior of a genetic net. The possibility of a general theory of metabolic behavior is suggested.

@article{Kauffman1969, abstract = {Proto-organisms probably were randomly aggregated nets of chemical reactions. The hypothesis that contemporary organisms are also randomly constructed molecular automata is examined by modeling the gene as a binary (on-off) device and studying the behavior of large, randomly constructed nets of these binary ” genes”. The results suggest that, if each ” gene” is directly affected by two or three other ” genes”, then such random nets: behave with great order and stability; undergo behavior cycles whose length predicts cell replication time as a function of the number of genes per cell; possess different modes of behavior whose number per net predicts roughly the number of cell types in an organism as a function of its number of genes; and under the stimulus of noise are capable of differentiating directly from any mode of behavior to at most a few other modes of behavior. Cellular differentation is modeled as a Markov chain among the modes of behavior of a genetic net. The possibility of a general theory of metabolic behavior is suggested.}, added-at = {2011-06-06T16:11:25.000+0200}, author = {Kauffman, S.}, biburl = {https://www.bibsonomy.org/bibtex/2396eb349c725d46d8923fc284dbba81c/rincedd}, doi = {10.1016/0022-5193(69)90015-0}, interhash = {152c601b261d62d6e1e456c34aa80e83}, intrahash = {396eb349c725d46d8923fc284dbba81c}, journal = {Journal of Theoretical Biology}, keywords = {boolean-dynamics gene-networks graphs networks regulatory-networks}, number = 3, pages = {437--467}, timestamp = {2011-06-06T16:11:25.000+0200}, title = {Metabolic stability and epigenesis in randomly constructed genetic nets}, volume = 22, year = 1969 }