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Mechanistic Vs. Empirical Network Models of Drug Action
Declining success rates coupled with increased costs is leading to an inevitable breaking point in the drug development pipeline. Can we avoid it by incorporating the vast mechanistic understanding of drug action? A recent review highlights this dilemma and proposes “quantitative logic gate” modelin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026635/ https://www.ncbi.nlm.nih.gov/pubmed/24448020 http://dx.doi.org/10.1038/psp.2013.51 |
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author | Birtwistle, M R Mager, D E Gallo, J M |
author_facet | Birtwistle, M R Mager, D E Gallo, J M |
author_sort | Birtwistle, M R |
collection | PubMed |
description | Declining success rates coupled with increased costs is leading to an inevitable breaking point in the drug development pipeline. Can we avoid it by incorporating the vast mechanistic understanding of drug action? A recent review highlights this dilemma and proposes “quantitative logic gate” modeling as a solution.(1) The goal of this commentary is to contrast this approach with mechanistic biochemical network models, which, although alluded to by Kiruoac and Onsum, requires a closer analysis. |
format | Online Article Text |
id | pubmed-4026635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-40266352014-05-20 Mechanistic Vs. Empirical Network Models of Drug Action Birtwistle, M R Mager, D E Gallo, J M CPT Pharmacometrics Syst Pharmacol Commentary Declining success rates coupled with increased costs is leading to an inevitable breaking point in the drug development pipeline. Can we avoid it by incorporating the vast mechanistic understanding of drug action? A recent review highlights this dilemma and proposes “quantitative logic gate” modeling as a solution.(1) The goal of this commentary is to contrast this approach with mechanistic biochemical network models, which, although alluded to by Kiruoac and Onsum, requires a closer analysis. Nature Publishing Group 2013-09 2013-09-06 /pmc/articles/PMC4026635/ /pubmed/24448020 http://dx.doi.org/10.1038/psp.2013.51 Text en Copyright © 2013 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by-nc-nd/3.0/ CPT: Pharmacometrics and Systems Pharmacology is an open-access journal published by Nature Publishing Group. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Commentary Birtwistle, M R Mager, D E Gallo, J M Mechanistic Vs. Empirical Network Models of Drug Action |
title | Mechanistic Vs. Empirical Network Models of Drug Action |
title_full | Mechanistic Vs. Empirical Network Models of Drug Action |
title_fullStr | Mechanistic Vs. Empirical Network Models of Drug Action |
title_full_unstemmed | Mechanistic Vs. Empirical Network Models of Drug Action |
title_short | Mechanistic Vs. Empirical Network Models of Drug Action |
title_sort | mechanistic vs. empirical network models of drug action |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026635/ https://www.ncbi.nlm.nih.gov/pubmed/24448020 http://dx.doi.org/10.1038/psp.2013.51 |
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