title: Computational architecture of the yeast regulatory network.
abstract: The topology of regulatory networks contains clues to their overall design principles and evolutionary history. We find that while in- and out-degrees of a given protein in the regulatory network are not correlated with each other, there exists a strong negative correlation between the out-degree of a regulatory protein and in-degrees of its targets. Such correlation positions large regulatory modules on the periphery of the network and makes them rather well separated from each other. We also address the question of relative importance of different classes of proteins quantified by the lethality of null-mutants lacking one of them as well as by the level of their evolutionary conservation. It was found that in the yeast regulatory network highly connected proteins are in fact less important than their low-connected counterparts.
authors.affiliation: Department of Physics, Brookhaven National Laboratory, Upton, NY 11973, USA.
authors.forename: Sergei
authors.initials: S
authors.lastname: Maslov
authors.forename: Kim
authors.initials: K
authors.lastname: Sneppen
mesh_terms: D001703:Biophysics / Q000379:methods*; D019143:Evolution, Molecular; D005656:Fungal Proteins / Q000502:physiology*; D015966:Gene Expression Regulation, Fungal; D016681:Genome, Fungal; D007700:Kinetics; D008954:Models, Biological; D008957:Models, Genetic; D015233:Models, Statistical; D025941:Protein Interaction Mapping; D012441:Saccharomyces cerevisiae / Q000378:metabolism / Q000502:physiology*; D029701:Saccharomyces cerevisiae Proteins / Q000502:physiology; D049490:Systems Biology; D014158:Transcription, Genetic
chemical_list: D005656:Fungal Proteins; D029701:Saccharomyces cerevisiae Proteins