Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions

Mathematical models have substantially improved our ability to predict the response of a complex biological system to perturbation, but their use is typically limited by difficulties in specifying model topology and parameter values. Additionally, incorporating entities across different biological s...

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Bibliographic Details

Published in:	Biotechnology journal Vol. 7; no. 3; pp. 374 - 386
Main Authors:	Morris, Melody K., Shriver, Zachary, Sasisekharan, Ram, Lauffenburger, Douglas A.
Format:	Journal Article
Language:	English
Published:	Weinheim WILEY-VCH Verlag 01.03.2012 WILEY‐VCH Verlag
Subjects:	Algorithms Cell Communication Computer Simulation Constrained fuzzy logic model Cytokines - metabolism Cytokines - pharmacokinetics Fuzzy Logic G-CSF Granulocyte Colony-Stimulating Factor - metabolism Granulocyte Colony-Stimulating Factor - pharmacokinetics Humans Models, Theoretical Multi-scale model Signal Transduction Signaling network
ISSN:	1860-6768, 1860-7314, 1860-7314
Online Access:	Get full text
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