Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.

Sci. Signal., 28 October 2008
Vol. 1, Issue 43, p. eg7
[DOI: 10.1126/scisignal.143eg7]


Signaling Networks and Mathematics

Michael B. Yaffe1,2*

1 Chief Scientific Editor of Science Signaling, American Association for the Advancement of Science, 1200 New York Avenue, N.W., Washington, DC 20005, USA.
2 Koch Institute for Integrative Cancer Research, Departments of Biology and Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Abstract: In order to fully appreciate and understand the complexity of cellular signaling, biologists are turning to mathematical models and computational approaches. Yaffe provides insight into his strategies for dividing and conquering papers that use complex math to make new predictions about biological systems.

* Corresponding author. E-mail: myaffe{at}

Citation: M. B. Yaffe, Signaling Networks and Mathematics. Sci. Signal. 1, eg7 (2008).

Read the Full Text

Pathway databases and tools for their exploitation: benefits, current limitations and challenges.
A. Bauer-Mehren, L. I. Furlong, and F. Sanz (2014)
Mol Syst Biol 5, 290
   Abstract »    Full Text »    PDF »

To Advertise     Find Products

Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882