Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2810908 | Trends in Endocrinology & Metabolism | 2012 | 9 Pages |
Signaling pathways that only a few years ago appeared simple and understandable, albeit far from complete, have evolved into very complex multi-layered networks of cellular control mechanisms, which in turn are integrated in a similarly complex whole-body level of control mechanisms. This complexity sets limits for classical biochemical reasoning, such that a correct and complete analysis of experimental data while taking the full complexity into account is not possible. In this Opinion we propose that mathematical modeling can be used as a tool in insulin signaling research, and we demonstrate how recent developments in modeling – and the integration of modeling in the experimental process – provide new possibilities to approach and decipher complex biological systems more efficiently.