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From molecular networks to qualitative cell behavior
Author(s) -
Gagneur Julien,
Casari Georg
Publication year - 2005
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2005.02.007
Subject(s) - computer science , constraint (computer aided design) , consistency (knowledge bases) , adaptation (eye) , systems biology , genomics , biological system , theoretical computer science , computational biology , artificial intelligence , data mining , biology , mathematics , genome , neuroscience , geometry , biochemistry , gene
Adaptation and behavior are characteristics of life which are fundamentally dynamic. If we want to model the living cell we have to describe it as a dynamic system. Typical dynamic models are based on quantitative differential equations requiring very detailed kinetic knowledge. Alternative modeling techniques for less fine‐grained information are better suited to available functional genomics data. As such, constraint‐based techniques and qualitative modeling have proven themselves to be valid approaches in cell biology. These approaches offer formal support to check the consistency of molecular networks against phenotypic observations in the light of dynamic systems.