Computational studies of gene regulatory networks: in numero molecular biology.
Remarkable progress in genomic research is leading to a complete map of the building blocks of biology. Knowledge of this map is, in turn, setting the stage for a fundamental description of cellular function at the DNA level. Such a description will entail an understanding of gene regulation, in which proteins often regulate their own production or that of other proteins in a complex web of interactions. The implications of the underlying logic of genetic networks are difficult to deduce through experimental techniques alone, and successful approaches will probably involve the union of new experiments and computational modelling techniques.
Hasty
J
J
Centre for BioDynamics and Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston, Massachusetts 02215, USA. hasty@bu.edu
McMillen
D
D
Isaacs
F
F
Collins
J J
JJ
D000818:Animals; D010582:Bacteriophage lambda / Q000235:genetics; D002940:Circadian Rhythm; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D005246:Feedback; D005786:Gene Expression Regulation; D008957:Models, Genetic; D008967:Molecular Biology / Q000379:methods; D012097:Repressor Proteins / Q000378:metabolism; D015533:Transcriptional Activation; D016159:Tumor Suppressor Protein p53 / Q000378:metabolism
D012097:Repressor Proteins; D016159:Tumor Suppressor Protein p53