Abstract
Protein-protein interactions (PPIs) are fundamental to many biological processes, and understanding these interactions is crucial for elucidating cellular functions and disease mechanisms. Network-based approaches have emerged as powerful tools for studying PPIs by providing a framework to model and analyze complex interaction networks. This article reviews the key network-based methods used to study PPIs, including protein interaction networks, graph theory, and computational tools such as Cytoscape, STRING, and GeneMANIA. We also explore the challenges in PPI network analysis and discuss future directions for using network-based approaches to improve drug discovery and personalized medicine.
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