Systems biology is an interdisciplinary field that aims to understand the complexity of biological systems by integrating and analyzing vast amounts of data generated from different molecular levels. By combining computational modeling, high-throughput technologies, and experimental validation, systems biology offers a holistic and quantitative approach to unravel the intricate relationships and behaviors within living organisms. This research article provides an overview of the principles, methodologies, and applications of systems biology, highlighting its significant contributions to various biological fields, including medicine, biotechnology, and ecology. We discuss the key components of systems biology, including data acquisition, data integration, mathematical modeling, and experimental validation. Furthermore, we explore the challenges and future directions of systems biology in addressing complex biological questions and aiding in the development of personalized medicine and synthetic biology.
KeywordsSystems biology; Multiscale data; Biological systems; Integration; Complexity; High-throughput technologies; Computational modeling; Experimental validation; Networks; Pathways; Personalized medicine; Biotechnology; Ecology.
Published Date: 2023-07-31; Received Date: 2023-07-01
