Format

Send to:

Choose Destination
See comment in PubMed Commons below
Methods Mol Biol. 2011;759:465-82. doi: 10.1007/978-1-61779-173-4_26.

Representation, simulation, and hypothesis generation in graph and logical models of biological networks.

Author information

  • 1Department of Computer Science, University of Aberystwyth, Ceredigion, UK. ken@seaview.gotadsl.co.uk

Abstract

This chapter presents a discussion of metabolic modeling from graph theory and logical modeling perspectives. These perspectives are closely related and focus on the coarse structure of metabolism, rather than the finer details of system behavior. The models have been used as background knowledge for hypothesis generation by Robot Scientists using yeast as a model eukaryote, where experimentation and machine learning are used to identify additional knowledge to improve the metabolic model. The logical modeling concept is being adapted to cell signaling and transduction biological networks.

PMID:
21863503
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Springer
    Loading ...
    Write to the Help Desk