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Logic Modeling in Quantitative Systems Pharmacology
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 re...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572374/ https://www.ncbi.nlm.nih.gov/pubmed/28681552 http://dx.doi.org/10.1002/psp4.12225 |
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author | Traynard, Pauline Tobalina, Luis Eduati, Federica Calzone, Laurence Saez‐Rodriguez, Julio |
author_facet | Traynard, Pauline Tobalina, Luis Eduati, Federica Calzone, Laurence Saez‐Rodriguez, Julio |
author_sort | Traynard, Pauline |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-5572374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55723742017-08-30 Logic Modeling in Quantitative Systems Pharmacology Traynard, Pauline Tobalina, Luis Eduati, Federica Calzone, Laurence Saez‐Rodriguez, Julio CPT Pharmacometrics Syst Pharmacol Tutorial 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). John Wiley and Sons Inc. 2017-07-29 2017-08 /pmc/articles/PMC5572374/ /pubmed/28681552 http://dx.doi.org/10.1002/psp4.12225 Text en © 2017 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Tutorial Traynard, Pauline Tobalina, Luis Eduati, Federica Calzone, Laurence Saez‐Rodriguez, Julio Logic Modeling in Quantitative Systems Pharmacology |
title | Logic Modeling in Quantitative Systems Pharmacology |
title_full | Logic Modeling in Quantitative Systems Pharmacology |
title_fullStr | Logic Modeling in Quantitative Systems Pharmacology |
title_full_unstemmed | Logic Modeling in Quantitative Systems Pharmacology |
title_short | Logic Modeling in Quantitative Systems Pharmacology |
title_sort | logic modeling in quantitative systems pharmacology |
topic | Tutorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572374/ https://www.ncbi.nlm.nih.gov/pubmed/28681552 http://dx.doi.org/10.1002/psp4.12225 |
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