| Literature DB >> 22285743 |
Elin Nyman1, Gunnar Cedersund, Peter Strålfors.
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. Copyright ÂEntities:
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Year: 2012 PMID: 22285743 DOI: 10.1016/j.tem.2011.12.007
Source DB: PubMed Journal: Trends Endocrinol Metab ISSN: 1043-2760 Impact factor: 12.015