Proteins interact with each other to regulate their functionality and localisation. The accumulated protein interaction evidences are represented by protein interaction network through a graph abstraction. Topological properties of protein interaction networks have been explored to characterise proteins and predict undiscovered interactions. Meanwhile, many researchers have tried to explain how protein interaction network is formed through evolutionary process. Moreover, the topological properties of protein interaction network are reported to have relationship with cancer-related genes. In this paper, we construct a weighted human protein interaction network based on triangles in protein interaction network and show that there is relations...
Protein-protein interaction (PPI) networks serve as a powerful tool for unraveling protein functions...
Protein-protein interaction networks provide a global picture of cellular function and biological pr...
New insights to understand the dynamics of enormous modifications during cancer in comparison to hea...
Abstract Background High-throughput screens have revealed large-scale protein interaction networks d...
Protein-protein interaction networks associated with diseases have gained prominence as an area of r...
This work focuses on the use of network graph theory in biological networks. I explore how network g...
Background: High-throughput screens have revealed large-scale protein interaction networks defining ...
Protein-protein interaction networks provide a global picture of cellular function and biological pr...
With the completion of the human genome project, it is feasible to investigate large-scale human pro...
Protein-protein interaction networks are important tools for understanding the complex nature of bio...
Protein interaction networks (PINs) are mathematical representations of interactions between protein...
Motivation: The structural interaction of proteins and their domains in networks is one of the most ...
Motivation: The structural interaction of proteins and their domains in networks is one of the most ...
Motivation: The structural interaction of proteins and their domains in networks is one of the most ...
Protein–protein interactions are usually shown as interaction networks (graphs), where the proteins ...
Protein-protein interaction (PPI) networks serve as a powerful tool for unraveling protein functions...
Protein-protein interaction networks provide a global picture of cellular function and biological pr...
New insights to understand the dynamics of enormous modifications during cancer in comparison to hea...
Abstract Background High-throughput screens have revealed large-scale protein interaction networks d...
Protein-protein interaction networks associated with diseases have gained prominence as an area of r...
This work focuses on the use of network graph theory in biological networks. I explore how network g...
Background: High-throughput screens have revealed large-scale protein interaction networks defining ...
Protein-protein interaction networks provide a global picture of cellular function and biological pr...
With the completion of the human genome project, it is feasible to investigate large-scale human pro...
Protein-protein interaction networks are important tools for understanding the complex nature of bio...
Protein interaction networks (PINs) are mathematical representations of interactions between protein...
Motivation: The structural interaction of proteins and their domains in networks is one of the most ...
Motivation: The structural interaction of proteins and their domains in networks is one of the most ...
Motivation: The structural interaction of proteins and their domains in networks is one of the most ...
Protein–protein interactions are usually shown as interaction networks (graphs), where the proteins ...
Protein-protein interaction (PPI) networks serve as a powerful tool for unraveling protein functions...
Protein-protein interaction networks provide a global picture of cellular function and biological pr...
New insights to understand the dynamics of enormous modifications during cancer in comparison to hea...