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Systems biology is an interdisciplinary field that aims to understand complex biological systems by integrating computational and experimental approaches. In recent years, the advent of computational tools has revolutionized the study of systems biology, enabling researchers to analyze large-scale biological data, model intricate molecular networks, and predict emergent properties of biological systems. This manuscript explores the role of computational tools in advancing systems biology, highlighting their applications in various areas such as network reconstruction, dynamical modelling, and drug discovery. We discuss the challenges and opportunities associated with harnessing computational techniques in systems biology and propose future directions for research in this dynamic field.
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