Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways

This review highlights the significance of mathematical modeling in understanding the mitogen-activated protein kinase (MAPK) pathway, a crucial intracellular signaling cascade involved in various cellular processes. It emphasizes the role of recent advances in single-cell proteomic technologies in exploring the heterogeneity and noise within complex signaling networks. The integration of mathematical modeling with experimental biology offers valuable insights into the regulatory mechanisms of the MAPK pathway, improves predictions of system behavior, and guides experimental research. The review also discusses the development of statistical methods for inferring pathway topologies and estimating unknown parameters, focusing on recent progress in modeling and inference using single-cell proteomic data.