A field studying how interactions among biological components generate system-level behavior, using quantitative measurements, perturbations and mathematical models.
Computational integration of an organism’s interacting physiological and developmental processes at a stated resolution and for a stated range of conditions.
Integration of multiple cellular processes into a computational model of a cell. The label describes the intended scope; it does not mean that every molecular event is known or individually simulated.
Coupling models at different spatial or temporal resolutions while making their interfaces, units and conservation requirements explicit.
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Systems biology is an interdisciplinary field that focuses on the complex interactions within biological systems, integrating various biological data and approaches to understand the dynamics of these systems as a whole. Rather than studying individual components in isolation—such as genes, proteins, or metabolic pathways—systems biology seeks to understand how these components interact with each other and how they contribute to the overall behavior of biological organisms.