Here's a breakdown:

* Focuses on interactions: Instead of looking at individual genes, proteins, or cells in isolation, systems biology studies how these elements interact and work together within complex networks.

* Combines different disciplines: It integrates data and approaches from various fields like biology, chemistry, physics, mathematics, and computer science.

* Uses computational models: Systems biology utilizes computer simulations and mathematical models to represent and analyze the complex interactions within biological systems.

* Aims for holistic understanding: The ultimate goal is to gain a comprehensive understanding of how biological systems behave, adapt, and respond to different conditions.

This approach allows researchers to:

* Predict system behavior: Understand how changes in one component can affect the entire system.

* Identify potential drug targets: Find new ways to manipulate biological systems for therapeutic purposes.

* Develop novel diagnostic tools: Create more accurate and personalized disease diagnostics.

In essence, systems biology seeks to move beyond the reductionist approach of studying individual components and embrace a more holistic and integrated view of living systems.