Document Detail


Expansion of signal transduction networks.
MedLine Citation:
PMID:  16986318     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Signal transduction networks of different cell types show a large variety in their structural design. In this paper, basic structural properties of signal transduction networks are investigated. For this, such networks with the recently developed method of network expansion are analysed. This method allows for a structural analysis of networks by calculating signal expansion profiles when provided with certain compounds, for example growth factors, inactive kinases and so on (seed compounds), to initiate such an expansion. The presented results may put forth valuable hints on the evolution of signalling networks.
Authors:
B Binder; O Ebenhöh; K Hashimoto; R Heinrich
Related Documents :
3431128 - The quantitative estimation of microvessels in microvascular networks.
15617578 - Clustering under the line graph transformation: application to reaction network.
18532558 - Robust time-division channel-access approach for an ad hoc underwater network.
16219318 - Experimental and modeling study of newtonian and non-newtonian fluid flow in pore netwo...
24618728 - Recent advances in gas and chemical detection by vernier effect-based photonic sensors.
18183168 - Hybrid numerical technique combining the finite-difference beam-propagation method and ...
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Systems biology     Volume:  153     ISSN:  1741-2471     ISO Abbreviation:  Syst Biol (Stevenage)     Publication Date:  2006 Sep 
Date Detail:
Created Date:  2006-09-21     Completed Date:  2006-10-30     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  101232067     Medline TA:  Syst Biol (Stevenage)     Country:  England    
Other Details:
Languages:  eng     Pagination:  364-8     Citation Subset:  IM    
Affiliation:
Theoretical Biophysics, Institute of Biology, Humboldt University Berlin, Invalidenstrasse 42, Berlin D-10115, Germany. bernd.binder@rz.hu-berlin.de
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms*
Animals
Cell Physiological Phenomena*
Computer Simulation
Humans
Kinetics
Models, Biological*
Proteome / metabolism*
Signal Transduction / physiology*
Chemical
Reg. No./Substance:
0/Proteome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Hierarchy of metabolic compounds based on their synthesising capacity.
Next Document:  Pathway classification of TCA cycle.