Abstract
Network theory has become a cornerstone in understanding complex biological systems, where individual components such as genes, proteins, and metabolites interact within intricate networks. In systems biology and bioinformatics, network theory provides a framework to model, analyze, and interpret these interactions in a holistic manner. This article explores the application of network theory in systems biology, focusing on the construction of biological networks, the analysis of gene and protein interaction networks, and the use of computational tools to predict system behaviors. We also discuss the challenges and future directions in applying network theory to improve our understanding of biological processes and disease mechanisms.

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