Document Detail

Discrete, qualitative models of interaction networks .
MedLine Citation:
PMID:  23277042     Owner:  NLM     Status:  In-Data-Review    
Logical models for cellular signaling networks are recently attracting wide interest: Their ability to integrate qualitative information at different biological levels, from receptor-ligand interactions to gene-regulatory networks, is becoming essential for understanding complex signaling behavior. We present an overview of Boolean modeling paradigms and discuss in detail an approach based on causal logical interactions that yields descriptive and predictive signaling network models. Our approach offers a mathematically well-defined concept, improving the efficiency of analytical tools to meet the demand of large-scale data sets, and can be extended into various directions to include timing information as well as multiple discrete values for components.
Kathrin Ballerstein; Utz-Uwe Haus; Jonathan Axel Lindquist; Tilo Beyer; Burkhart Schraven; Robert Weismantel
Publication Detail:
Type:  Journal Article     Date:  2013-01-01
Journal Detail:
Title:  Frontiers in bioscience (Scholar edition)     Volume:  5     ISSN:  1945-0524     ISO Abbreviation:  Front Biosci (Schol Ed)     Publication Date:  2013  
Date Detail:
Created Date:  2013-01-01     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101485241     Medline TA:  Front Biosci (Schol Ed)     Country:  United States    
Other Details:
Languages:  eng     Pagination:  149-66     Citation Subset:  IM    
Institute of Operations Research, Department of Mathematics, ETH Zurich, Ramistrasse 101, CH-8092 Zurich, Switzerland.
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