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Computational modeling of drug response with applications to neuroscience
The development of novel high-throughput technologies has opened up the opportunity to deeply characterize patient tissues at various molecular levels and has given rise to a paradigm shift in medicine towards personalized therapies. Computational analysis plays a pivotal role in integrating the var...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Les Laboratoires Servier
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336917/ https://www.ncbi.nlm.nih.gov/pubmed/25733952 |
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author | Herwig, Ralf |
author_facet | Herwig, Ralf |
author_sort | Herwig, Ralf |
collection | PubMed |
description | The development of novel high-throughput technologies has opened up the opportunity to deeply characterize patient tissues at various molecular levels and has given rise to a paradigm shift in medicine towards personalized therapies. Computational analysis plays a pivotal role in integrating the various genome data and understanding the cellular response to a drug. Based on that data, molecular models can be constructed that incorporate the known downstream effects of drug-targeted receptor molecules and that predict optimal therapy decisions. In this article, we describe the different steps in the conceptual framework of computational modeling. We review resources that hold information on molecular pathways that build the basis for constructing the model interaction maps, highlight network analysis concepts that have been helpful in identifying predictive disease patterns, and introduce the basic concepts of kinetic modeling. Finally, we illustrate this framework with selected studies related to the modeling of important target pathways affected by drugs. |
format | Online Article Text |
id | pubmed-4336917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Les Laboratoires Servier |
record_format | MEDLINE/PubMed |
spelling | pubmed-43369172015-03-02 Computational modeling of drug response with applications to neuroscience Herwig, Ralf Dialogues Clin Neurosci Basic Research The development of novel high-throughput technologies has opened up the opportunity to deeply characterize patient tissues at various molecular levels and has given rise to a paradigm shift in medicine towards personalized therapies. Computational analysis plays a pivotal role in integrating the various genome data and understanding the cellular response to a drug. Based on that data, molecular models can be constructed that incorporate the known downstream effects of drug-targeted receptor molecules and that predict optimal therapy decisions. In this article, we describe the different steps in the conceptual framework of computational modeling. We review resources that hold information on molecular pathways that build the basis for constructing the model interaction maps, highlight network analysis concepts that have been helpful in identifying predictive disease patterns, and introduce the basic concepts of kinetic modeling. Finally, we illustrate this framework with selected studies related to the modeling of important target pathways affected by drugs. Les Laboratoires Servier 2014-12 /pmc/articles/PMC4336917/ /pubmed/25733952 Text en Copyright: © 2014 Institut la Conférence Hippocrate - Servier Research Group http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Basic Research Herwig, Ralf Computational modeling of drug response with applications to neuroscience |
title | Computational modeling of drug response with applications to neuroscience |
title_full | Computational modeling of drug response with applications to neuroscience |
title_fullStr | Computational modeling of drug response with applications to neuroscience |
title_full_unstemmed | Computational modeling of drug response with applications to neuroscience |
title_short | Computational modeling of drug response with applications to neuroscience |
title_sort | computational modeling of drug response with applications to neuroscience |
topic | Basic Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336917/ https://www.ncbi.nlm.nih.gov/pubmed/25733952 |
work_keys_str_mv | AT herwigralf computationalmodelingofdrugresponsewithapplicationstoneuroscience |