Journal
BIOESSAYS
Volume 24, Issue 12, Pages 1110-1117Publisher
WILEY
DOI: 10.1002/bies.1154
Keywords
-
Categories
Funding
- NCI NIH HHS [CA 81050] Funding Source: Medline
- NIGMS NIH HHS [GM54508, F31-GM 65065] Funding Source: Medline
Ask authors/readers for more resources
Biochemical networks, including those containing signaling pathways, display a wide range of regulatory properties. These include the ability to propagate information across different time scales and to function as switches and oscillators. The mechanisms underlying these complex behaviors involve many interacting components and cannot be understood by experiments alone. The development of computational models and the integration of these models with experiments provide valuable insight into these complex systems-level behaviors. Here we review current approaches to the development of computational models of biochemical networks and describe the insights gained from models that integrate experimental data, using three examples that deal with ultrasensitivity, flexible bistability and oscillatory behavior. These types of complex behavior from relatively simple networks highlight the necessity of using theoretical approaches in understanding higher order biological functions. (C) 2002 Wiley Periodicals, Inc.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available