Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-22T21:00:25.169Z Has data issue: false hasContentIssue false

5 - Biochemical signaling modules

Published online by Cambridge University Press:  05 June 2012

Daniel A. Beard
Affiliation:
Medical College of Wisconsin
Hong Qian
Affiliation:
University of Washington
Get access

Summary

Overview

The central dogma of molecular biology describes how one form of biological information (an organism's genetic sequence) is processed in terms of DNA replication, RNA transcription, and protein synthesis. However, a related mystery is yet to be worked out in sufficient detail: how is the information encoded in the DNA (i.e., genotypes) related to cellular functions (i.e., phenotypes)? How do different signals tell different cells to synthesize different proteins?

To tackle these questions we adopt a view of the cell as a machine that processes diverse information. The hardware for cellular information processing consists of specialized biochemical reactions and their associated molecules, forming so-called signal transduction networks. As we have discussed in the previous chapter, the majority of biochemical reactions involve proteins acting as enzymatic catalysts. Reactions in signaling systems are no exception. In fact it is a common motif in signaling systems for enzymes to carry information via regulations of their biochemical activities; activities are modulated by covalent modification or allosteric binding by effector molecules.

A central question in cellular biology is now to elucidate (meaning to develop models with reliable predictive power) the mechanisms by which the cells transducer information and perform their functions. Cellular biochemical signaling systems are customarily visualized as “logic circuits”; the components for the circuitry, now popularly called “modules”, consist of molecules and biochemical reactions.

Type
Chapter
Information
Chemical Biophysics
Quantitative Analysis of Cellular Systems
, pp. 105 - 127
Publisher: Cambridge University Press
Print publication year: 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×