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Systems Biology

Systems Biology is a research field focused on comprehending entire biological systems, such as protein complexes, metabolic pathways, and gene regulatory networks. It employs computational and mathematical analyses to understand how cells, tissues, and organisms function as interconnected systems. The systemic perspective acknowledges the interdependence of biological components, where the behavior of individual parts influences the entire system.

Systems Biology is a scientific approach that studies living organisms as integrated and interconnected systems. Instead of focusing on individual components, it examines how genes, proteins, cells, and organs collaborate to create the complex functions of life. It employs computational models and advanced technologies to analyze and understand the dynamic interactions within biological systems. This holistic perspective allows researchers to unravel the underlying principles governing the behavior of organisms.

Evolutionary Stages of Systems Biology:

  • Molecular Biology to Systems Molecular Biology: Transformation from understanding gene structure to exploring molecular pathways and networks.
  • Systems-Mathematical Biology: Incorporating general systems theory and nonlinear dynamics to study living organisms.
  • Convergence of Molecular and Mathematical Systems Biology: Integration leading to advancements in systems-based medicine, biotechnology, and drug development.

Technological Advances:

The advent of high-throughput approaches has revolutionized biological data analysis. High-powered computing technologies enable the observation and understanding of complex biological systems, supporting the transition from single-molecule studies to systems-level investigations.

Major Research Topics:

  • Gene Regulatory Networks
  • Modeling Metabolic Interactions
  • Protective Mechanisms Induced by Antibiotics
  • Cell Signaling Pathways

Key Technologies:

  • Phenomics
  • Genomics
  • Epigenetics
  • Transcriptomics
  • Interactomics

References:

  • Najarian, K., Najarian, S., Gharibzadeh, S., & Eichelberger, C. N. (2009). “Systems Biology and Bioinformatics: A Computational Approach.” CRC Press.
  • Palsson, B. (2015). “Systems Biology.” Cambridge University Press.
  • Klipp, E., Herwig, R., Kowald, A., Wierling, C., & Lehrach, H. (2005). “Systems Biology in Practice: Concepts, Implementation, and Application.” John Wiley & Sons.
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