This systematic review aims to provide a comprehensive overview of graph-based
methodologies utilized in the analysis of protein–protein interaction (PPI) networks. The …

Protein–protein interaction (PPI) networks are complex networks that model the interactions
between proteins. Various biological processes, such as signal transduction, gene …

Purpose: The protein-protein interaction (PPI) networks serve as invaluable repositories,
shedding light on the intricate web of protein interactions within living organisms. Despite …

The applications of centrality measures in protein-protein interaction (PPI) network analysis
are diverse and encompass fundamental biological insights; cancer disease-related …

Protein‐protein interaction (PPI) networks carry vital information on the organization of
molecular interactions in cellular systems. The identification of functionally relevant modules …

Abstract Background Protein-protein interactions (PPIs) are a critical component for many
underlying biological processes. A PPI network can provide insight into the mechanisms of …

Understanding the mechanisms of a disease is highly complicated due to the complex
pathways involved in the disease progression. Despite several decades of research, the …

Background In terms of genomics, bioinformatics conceptualizes biological processes and
utilizes computer science to generate knowledge from biological data. Bioinformatics is …

Abstract Traditional Protein-Protein Interaction (PPI) networks, which use a node and edge
representation, lack some valuable information about the mechanistic details of biological …

The systematic and unbiased charting of protein–protein interaction (PPI) networks relevant
to health or diseases has become an important and burgeoning challenge in systems …