Abstract
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. © 2011 Elsevier Ltd.
Cite
CITATION STYLE
Nyman, E., Cedersund, G., & Strålfors, P. (2012). Insulin signaling - mathematical modeling comes of age. Trends in Endocrinology and Metabolism, 23(3), 107–115. https://doi.org/10.1016/j.tem.2011.12.007
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.