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  Computational modelling of drug response with applications to neuroscience

Herwig, R. (2014). Computational modelling of drug response with applications to neuroscience. Dialogues in Clinical Neuroscience, 16(4), 465-477.

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© 2014 Institut la Conférence Hippocrate - Servier Research Group

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 Creators:
Herwig, Ralf1, Author           
Affiliations:
1Bioinformatics (Ralf Herwig), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2385701              

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Free keywords: bioinformatics, drug response, dynamic modeling, molecular interaction, network analysis, neurogenomics, systems biology
 Abstract: 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.

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Language(s): eng - English
 Dates: 2014-12
 Publication Status: Issued
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: PMID: 25733952
PMC: PMC4336917
 Degree: -

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Title: Dialogues in Clinical Neuroscience
Source Genre: Journal
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Publ. Info: Neuilly-sur-Seine : Les Laboratoires Servier
Pages: - Volume / Issue: 16 (4) Sequence Number: - Start / End Page: 465 - 477 Identifier: ISSN: 1294-8322
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000035070