Quantitative modeling approaches for understanding the role of phosphatases in cell signaling regulation: Applications in Metabolism

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The regulation of cell signaling occurs through a complex set of coupled processes occurring over multiple length and time scales. Computational modeling approaches have been applied to dissect this complexity over these various time and length scales, which range from the molecular level to the cell and tissue level, but these approaches have not focused heavily on the regulation or roles of phosphatases. Because of the clear importance of phosphatases in cell signaling, significant opportunities exist to expand our understanding of the regulation of cell signaling in metabolism and other cell regulatory processes by focusing modern computational approaches on phosphatases and the processes they regulate. The aim of this chapter is to provide a brief review of some computational modeling approaches that have been usefully applied to study the regulation of signaling, mainly by kinases, over a range of length and time scales and to describe opportunities to apply similar approaches for understanding signaling regulation by phosphatases. Some specific examples of key relevance to metabolism are described.

Cite

CITATION STYLE

APA

Lazzara, M. J. (2013). Quantitative modeling approaches for understanding the role of phosphatases in cell signaling regulation: Applications in Metabolism. In Protein Tyrosine Phosphatase Control of Metabolism (pp. 27–48). Springer New York. https://doi.org/10.1007/978-1-4614-7855-3_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free