The Evolution of Systems Biology and Systems Medicine: From Mechanistic Models to Uncertainty Quantification.

ABSTRACT: Understanding interaction mechanisms within cells, tissues, and organisms is crucial for driving developments across biology and medicine. Mathematical modeling is an essential tool for simulating such biological systems. Building on experiments, mechanistic models are widely used to describe small-scale intracellular networks. The development of sequencing techniques and computational tools has recently enabled multiscale models. Combining such larger scale network modeling with mechanistic modeling provides us with an opportunity to reveal previously unknown disease mechanisms and pharmacological interventions. Here, we review systems biology models from mechanistic models to multiscale models that integrate multiple layers of cellular networks and discuss how they can be used to shed li

SUBMITTER: Qiao L 

PROVIDER: S-EPMC12700611 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature