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Logic Modeling in Quantitative Systems Pharmacology
Author(s) -
Traynard Pauline,
Tobalina Luis,
Eduati Federica,
Calzone Laurence,
SaezRodriguez Julio
Publication year - 2017
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1002/psp4.12225
Subject(s) - workflow , computer science , systems pharmacology , relevance (law) , logic model , action (physics) , data science , drug , pharmacology , medicine , social science , database , sociology , political science , law , physics , quantum mechanics
Here we present logic modeling as an approach to understand deregulation of signal transduction in disease and to characterize a drug's mode of action. We discuss how to build a logic model from the literature and experimental data and how to analyze the resulting model to obtain insights of relevance for systems pharmacology. Our workflow uses the free tools OmniPath (network reconstruction from the literature), CellNOpt (model fit to experimental data), MaBoSS (model analysis), and Cytoscape (visualization).

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