It is widely believed that the modular organization of cellular function is reflected in a modular structure of molecular networks. A common view is that a ‘‘module’’ in a network is a cohesively linked group of nodes, densely connected internally and sparsely interacting with the rest of the network. Many algorithms try to identify functional modules in protein-interaction networks (PIN) by searching for such cohesive groups of proteins. Here, we present an alternative approach independent of any prior definition of what actually constitutes a ‘‘module’’. In a self-consistent manner, proteins are grouped into ‘‘functional roles’’ if they interact in similar ways with other proteins according to their functional roles. Such grouping may wel...
Motivation: Modern systems biology aims at understanding how the different molecular components of a...
The development and application of high-throughput technology to study protein interactions has led ...
Protein interaction networks have become a tool to study biological processes, either for predicting...
Modularity is a major design principle in interaction networks. Various studies have shown that prot...
Systems biology offers a holistic perspective where individual proteins are viewed as elements in a ...
A key question in modern biology is how the complexity of protein-protein interaction net-works rela...
Modern systems biology aims at understanding how the different molecular components of a biological ...
ABSTRACT Complex cellular processes are modular and are accomplished by the concerted action of func...
Background: Module detection algorithms relying on modularity maximization suffer from an inherent r...
Recent studies have suggested that molecular interaction networks within cells could be decomposed i...
Protein interaction networks have become a tool to study biological processes, either for predicting...
The cellular metabolism of a living organism is among the most complex systems that man is currently...
Motivation We propose a novel method for automatic module extraction from protein-protein interactio...
BACKGROUND: It is generally acknowledged that a functional understanding of a biological system can ...
Determining protein function is one of the most challenging problems of the post-genomic era. The av...
Motivation: Modern systems biology aims at understanding how the different molecular components of a...
The development and application of high-throughput technology to study protein interactions has led ...
Protein interaction networks have become a tool to study biological processes, either for predicting...
Modularity is a major design principle in interaction networks. Various studies have shown that prot...
Systems biology offers a holistic perspective where individual proteins are viewed as elements in a ...
A key question in modern biology is how the complexity of protein-protein interaction net-works rela...
Modern systems biology aims at understanding how the different molecular components of a biological ...
ABSTRACT Complex cellular processes are modular and are accomplished by the concerted action of func...
Background: Module detection algorithms relying on modularity maximization suffer from an inherent r...
Recent studies have suggested that molecular interaction networks within cells could be decomposed i...
Protein interaction networks have become a tool to study biological processes, either for predicting...
The cellular metabolism of a living organism is among the most complex systems that man is currently...
Motivation We propose a novel method for automatic module extraction from protein-protein interactio...
BACKGROUND: It is generally acknowledged that a functional understanding of a biological system can ...
Determining protein function is one of the most challenging problems of the post-genomic era. The av...
Motivation: Modern systems biology aims at understanding how the different molecular components of a...
The development and application of high-throughput technology to study protein interactions has led ...
Protein interaction networks have become a tool to study biological processes, either for predicting...