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  Network and systems biology: essential steps in virtualising drug discovery and development.

Wierling, C. K., Kessler, T., Ogilvie, L. A., Lange, B., Yaspo, M.-L., & Lehrach, H. (2015). Network and systems biology: essential steps in virtualising drug discovery and development. Drug Discovery Today: Technology, 15, 33-40.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-434F-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-4350-C
Genre: Journal Article

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1-s2.0-S1740674915000335-main.pdf (Publisher version), 2MB
 
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2015-08-08
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Copyright © 2015 Elsevier Ltd. All rights reserved.
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 Creators:
Wierling, Christoph K.1, Author              
Kessler, Thomas1, Author
Ogilvie, Lesley A.2, Author              
Lange, Bodo3, Author              
Yaspo, Marie-Laure4, Author              
Lehrach, Hans3, Author              
Affiliations:
1Systems Biology (Christoph Wierling), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479656              
2Department of Molecular Biology, Max Planck Institute for Infection Biology, Max Planck Society, ou_1664147              
3Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              
4Gene Regulation and Systems Biology of Cancer (Marie-Laure Yaspo), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2117287              

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 Abstract: The biological processes that keep us healthy or cause disease, as well as the mechanisms of action of possible drugs are inherently complex. In the face of this complexity, attempts at discovering new drugs to treat diseases have alternated between trial-and-error (typically on experimental systems) and grand simplification, usually based on much too little information. We now have the chance to combine these strategies through establishment of 'virtual patient' models, centred on a detailed molecular characterisation of thousands or even, in the future, millions of patients. In doing so, we lay the foundations for truly personalised therapy, as well as a far-reaching virtualisation of drug discovery and development in oncology and other areas of medicine.

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Language(s): eng - English
 Dates: 2015-08-08
 Publication Status: Published online
 Pages: -
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Title: Drug Discovery Today: Technology
Source Genre: Journal
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Publ. Info: Kidlington, Oxford : Elsevier Current Trends
Pages: 7 Volume / Issue: 15 Sequence Number: - Start / End Page: 33 - 40 Identifier: ISSN: 1359-6446
CoNE: https://pure.mpg.de/cone/journals/resource/954925619134