The evolution of protein-protein interactions over time has led to a complex
network whose character is modular in the cellular function and highly
correlated in its connectivity. The question of the characterization and
emergence of modularity following principles of evolution remains an important
challenge as there is no encompassing theory to explain the resulting modular
topology. Here, we perform an empirical study of the yeast protein-interaction
network. We find a novel large-scale modular organization of the functional
classes of proteins characterized in terms of scale-invariant laws of
modularity. We develop a mathematical framework and demonstrate a relationship
between the modular structure and the evolution growth rate of the
interactions, conserved proteins, and topological length-scales in the system
revealing a hierarchy of mutational events giving rise to the modular topology.
These results are expected to apply to other complex networks providing a
general theoretical framework to describe their modular organization and
dynamics.
Description
[1006.2761] Unraveling the modular evolution of the yeast protein interaction network
%0 Generic
%1 Gallos2010
%A Gallos, Lazaros K.
%A Song, Chaoming
%A Weinmaier, Thomas
%A Rattei, Thomas
%A Makse, Hernan A.
%D 2010
%K network yeast
%T Unraveling the modular evolution of the yeast protein interaction
network
%U http://arxiv.org/abs/1006.2761
%X The evolution of protein-protein interactions over time has led to a complex
network whose character is modular in the cellular function and highly
correlated in its connectivity. The question of the characterization and
emergence of modularity following principles of evolution remains an important
challenge as there is no encompassing theory to explain the resulting modular
topology. Here, we perform an empirical study of the yeast protein-interaction
network. We find a novel large-scale modular organization of the functional
classes of proteins characterized in terms of scale-invariant laws of
modularity. We develop a mathematical framework and demonstrate a relationship
between the modular structure and the evolution growth rate of the
interactions, conserved proteins, and topological length-scales in the system
revealing a hierarchy of mutational events giving rise to the modular topology.
These results are expected to apply to other complex networks providing a
general theoretical framework to describe their modular organization and
dynamics.
@misc{Gallos2010,
abstract = { The evolution of protein-protein interactions over time has led to a complex
network whose character is modular in the cellular function and highly
correlated in its connectivity. The question of the characterization and
emergence of modularity following principles of evolution remains an important
challenge as there is no encompassing theory to explain the resulting modular
topology. Here, we perform an empirical study of the yeast protein-interaction
network. We find a novel large-scale modular organization of the functional
classes of proteins characterized in terms of scale-invariant laws of
modularity. We develop a mathematical framework and demonstrate a relationship
between the modular structure and the evolution growth rate of the
interactions, conserved proteins, and topological length-scales in the system
revealing a hierarchy of mutational events giving rise to the modular topology.
These results are expected to apply to other complex networks providing a
general theoretical framework to describe their modular organization and
dynamics.
},
added-at = {2010-06-15T16:15:12.000+0200},
author = {Gallos, Lazaros K. and Song, Chaoming and Weinmaier, Thomas and Rattei, Thomas and Makse, Hernan A.},
biburl = {https://www.bibsonomy.org/bibtex/28d056d616b4649d98eacdeef6c239e9d/wnpxrz},
description = {[1006.2761] Unraveling the modular evolution of the yeast protein interaction network},
interhash = {5e81d85cc7e63e3dcb09ef2b3d1749ea},
intrahash = {8d056d616b4649d98eacdeef6c239e9d},
keywords = {network yeast},
note = {cite arxiv:1006.2761
},
timestamp = {2010-06-15T16:15:12.000+0200},
title = {Unraveling the modular evolution of the yeast protein interaction
network},
url = {http://arxiv.org/abs/1006.2761},
year = 2010
}