Evolving complex dynamics in electronic models of genetic networks. Export

@article{citeulike:941076, abstract = {Ordinary differential equations are often used to model the dynamics and interactions in genetic networks. In one particularly simple class of models, the model genes control the production rates of products of other genes by a logical function, resulting in piecewise linear differential equations. In this article, we construct and analyze an electronic circuit that models this class of piecewise linear equations. This circuit combines CMOS logic and RC circuits to model the logical control of the increase and decay of protein concentrations in genetic networks. We use these electronic networks to study the evolution of limit cycle dynamics. By mutating the truth tables giving the logical functions for these networks, we evolve the networks to obtain limit cycle oscillations of desired period. We also investigate the fitness landscapes of our networks to determine the optimal mutation rate for evolution.}, address = {Center for BioDynamics and Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.}, author = {Mason, J. and Linsay, P. S. and Collins, J. J. and Glass, L.}, citeulike-article-id = {941076}, citeulike-linkout-0 = {http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=CHAOEH000014000003000707000001&idtype=cvips&gifs=yes}, citeulike-linkout-1 = {http://link.aip.org/link/?CHA/14/707}, citeulike-linkout-2 = {http://dx.doi.org/10.1063/1.1786683}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/15446982}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=15446982}, comment = {yet another different approach - this one seems to use electronic circuit representations as the model for GRNs}, doi = {10.1063/1.1786683}, issn = {1054-1500}, journal = {Chaos}, keywords = {genetic\_regulatory\_networks, methodology, modelling}, month = {September}, number = {3}, pages = {707--715}, posted-at = {2007-01-29 22:55:31}, priority = {4}, title = {Evolving complex dynamics in electronic models of genetic networks.}, url = {http://dx.doi.org/10.1063/1.1786683}, volume = {14}, year = {2004} }

TY - JOUR ID - citeulike:941076 L3 - citeulike-article-id:941076 N2 - Ordinary differential equations are often used to model the dynamics and interactions in genetic networks. In one particularly simple class of models, the model genes control the production rates of products of other genes by a logical function, resulting in piecewise linear differential equations. In this article, we construct and analyze an electronic circuit that models this class of piecewise linear equations. This circuit combines CMOS logic and RC circuits to model the logical control of the increase and decay of protein concentrations in genetic networks. We use these electronic networks to study the evolution of limit cycle dynamics. By mutating the truth tables giving the logical functions for these networks, we evolve the networks to obtain limit cycle oscillations of desired period. We also investigate the fitness landscapes of our networks to determine the optimal mutation rate for evolution. IS - 3 JF - Chaos SN - 1054-1500 AD - Center for BioDynamics and Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA. EP - 715 TI - Evolving complex dynamics in electronic models of genetic networks. VL - 14 SP - 707 KW - genetic_regulatory_networks KW - methodology KW - modelling N1 - yet another different approach - this one seems to use electronic circuit representations as the model for GRNs AU - Mason, J AU - Linsay, PS AU - Collins, JJ AU - Glass, L PY - 2004/09// UR - http://dx.doi.org/10.1063/1.1786683 ER -