Open AccessComputational modeling of mammalian signaling networks
Author(s) -
Hughey Jacob J.,
Lee Timothy K.,
Covert Markus W.
Publication year - 2009
Publication title -
wiley interdisciplinary reviews: systems biology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.087
H-Index - 51
eISSN - 1939-005X
pISSN - 1939-5094
DOI - 10.1002/wsbm.52
Subject(s) - computational model , computer science , focus (optics) , network model , biological network , systems biology , computational biology , data science , artificial intelligence , cognitive science , biology , physics , optics , psychology
One of the most exciting developments in signal transduction research has been the proliferation of studies in which a biological discovery was initiated by computational modeling. In this study, we review the major efforts that enable such studies. First, we describe the experimental technologies that are generally used to identify the molecular components and interactions in, and dynamic behavior exhibited by, a network of interest. Next, we review the mathematical approaches that are used to model signaling network behavior. Finally, we focus on three specific instances of ‘model‐driven discovery’: cases in which computational modeling of a signaling network has led to new insights that have been verified experimentally. Copyright © 2009 John Wiley & Sons, Inc. This article is categorized under: Models of Systems Properties and Processes > Cellular Models