Molecular networks guide the biochemistry of a living cell on multiple levels: Its metabolic and signaling pathways are shaped by the network of interacting proteins, whose production, in turn, is controlled by the genetic regulatory network. To address topological properties of these two networks, we quantified correlations between connectivities of interacting nodes and compared them to a null model of a network, in which all links were randomly rewired. We found that for both interaction and regulatory networks, links between highly connected proteins are systematically suppressed, whereas those between a highly connected and low-connected pairs of proteins are favored. This effect decreases the likelihood of cross talk between different functional modules of the cell and increases the overall robustness of a network by localizing effects of deleterious perturbations.
%0 Journal Article
%1 Maslov2002Specificity
%A Maslov, Sergei
%A Sneppen, Kim
%D 2002
%I American Association for the Advancement of Science
%J Science
%K gene\_regulatory\_network, protein\_interaction, proteins networks biological-networks
%N 5569
%P 910--913
%R 10.1126/science.1065103
%T Specificity and Stability in Topology of Protein Networks
%U http://dx.doi.org/10.1126/science.1065103
%V 296
%X Molecular networks guide the biochemistry of a living cell on multiple levels: Its metabolic and signaling pathways are shaped by the network of interacting proteins, whose production, in turn, is controlled by the genetic regulatory network. To address topological properties of these two networks, we quantified correlations between connectivities of interacting nodes and compared them to a null model of a network, in which all links were randomly rewired. We found that for both interaction and regulatory networks, links between highly connected proteins are systematically suppressed, whereas those between a highly connected and low-connected pairs of proteins are favored. This effect decreases the likelihood of cross talk between different functional modules of the cell and increases the overall robustness of a network by localizing effects of deleterious perturbations.
@article{Maslov2002Specificity,
abstract = {{Molecular networks guide the biochemistry of a living cell on multiple levels: Its metabolic and signaling pathways are shaped by the network of interacting proteins, whose production, in turn, is controlled by the genetic regulatory network. To address topological properties of these two networks, we quantified correlations between connectivities of interacting nodes and compared them to a null model of a network, in which all links were randomly rewired. We found that for both interaction and regulatory networks, links between highly connected proteins are systematically suppressed, whereas those between a highly connected and low-connected pairs of proteins are favored. This effect decreases the likelihood of cross talk between different functional modules of the cell and increases the overall robustness of a network by localizing effects of deleterious perturbations.}},
added-at = {2019-06-10T14:53:09.000+0200},
author = {Maslov, Sergei and Sneppen, Kim},
biburl = {https://www.bibsonomy.org/bibtex/299ab6cbac4fdc3cc82015b9adb41229a/nonancourt},
citeulike-article-id = {99928},
citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1065103},
citeulike-linkout-1 = {http://www.sciencemag.org/content/296/5569/910.abstract},
citeulike-linkout-2 = {http://www.sciencemag.org/content/296/5569/910.full.pdf},
citeulike-linkout-3 = {http://www.sciencemag.org/cgi/content/abstract/296/5569/910},
citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/11988575},
citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=11988575},
citeulike-linkout-6 = {http://www.sciencemag.org/cgi/content/full/296/5569/910},
day = 03,
doi = {10.1126/science.1065103},
interhash = {4a380063beda7ffe4f96e0eb1ad5c7c5},
intrahash = {99ab6cbac4fdc3cc82015b9adb41229a},
issn = {1095-9203},
journal = {Science},
keywords = {gene\_regulatory\_network, protein\_interaction, proteins networks biological-networks},
month = may,
number = 5569,
pages = {910--913},
pmid = {11988575},
posted-at = {2008-10-30 15:19:44},
priority = {2},
publisher = {American Association for the Advancement of Science},
timestamp = {2019-07-31T13:50:37.000+0200},
title = {{Specificity and Stability in Topology of Protein Networks}},
url = {http://dx.doi.org/10.1126/science.1065103},
volume = 296,
year = 2002
}