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  5. Systems biology embedded target validation: improving efficacy in drug discovery
 
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Systems biology embedded target validation: improving efficacy in drug discovery

Author(s)
Vandamme, Drieke  
Minke, Benedikt A.  
Fitzmaurice, William  
Kholodenko, Boris N.  
Kolch, Walter  
Uri
http://hdl.handle.net/10197/7555
Date Issued
2014-02
Date Available
2016-04-08T11:30:18Z
Abstract
The pharmaceutical industry is faced with a range of challenges with the ever-escalating costs of drug development and a drying out of drug pipelines. By harnessing advances in -omics technologies and moving away from the standard, reductionist model of drug discovery, there is significant potential to reduce costs and improve efficacy. Embedding systems biology approaches in drug discovery, which seek to investigate underlying molecular mechanisms of potential drug targets in a network context, will reduce attrition rates by earlier target validation and the introduction of novel targets into the currently stagnant market. Systems biology approaches also have the potential to assist in the design of multidrug treatments and repositioning of existing drugs, while stratifying patients to give a greater personalization of medical treatment.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Science Foundation Ireland
Other Sponsorship
CASyM
Type of Material
Journal Article
Publisher
Wiley
Journal
Wiley Interdisciplinary Reviews: Systems Biology and Medicine
Volume
6
Issue
1
Start Page
1
End Page
11
Copyright (Published Version)
2013 Wiley Periodicals, Inc.
Subjects

Drug discovery

Systems biology

Multidrug treatment

Personalized medicine...

DOI
10.1002/wsbm.1253
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Systems biology embedded target validation improving efficacy in drug discovery.pdf

Size

480.58 KB

Format

Adobe PDF

Checksum (MD5)

10a84e2f84e56c4b5c1197fe4a6941d3

Owning collection
SBI Research Collection
Mapped collections
Conway Institute Research Collection•
Medicine Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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