IMR Press / FBS / Volume 5 / Issue 1 / DOI: 10.2741/S363

Frontiers in Bioscience-Scholar (FBS) is published by IMR Press from Volume 13 Issue 1 (2021). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on as a courtesy and upon agreement with Frontiers in Bioscience.

Discrete, qualitative models of interaction networks
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1 Institute of Operations Research, Department of Mathematics, ETH Zurich, Raemistrasse 101, CH-8092 Zurich, Switzerland
2 Institute for Molecular and Clinical Immunology, Medical Faculty, Otto-von-Guericke-Universitaet, Leipziger Str. 44, Building 26, 39120 Magdeburg, Germany
Front. Biosci. (Schol Ed) 2013, 5(1), 149–166;
Published: 1 January 2013

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.

Qualitative modeling
Integer programing
Monotone boolean functions
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