Network-Based Approaches in Drug Discovery and Early Development

Identification of novel targets is a critical first step in the drug discovery and development process. Most diseases such as cancer, metabolic disorders, and neurological disorders are complex, and their pathogenesis involves multiple genetic and environmental factors. Finding a viable drug target–...

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Bibliographic Details
Published in:	Clinical pharmacology and therapeutics Vol. 94; no. 6; pp. 651 - 658
Main Authors:	Harrold, J M, Ramanathan, M, Mager, D E
Format:	Journal Article
Language:	English
Published:	Basingstoke Blackwell Publishing Ltd 01-12-2013 Nature Publishing Group
Subjects:	Animals Biological and medical sciences Computational Biology - methods Databases, Genetic Drug Discovery - methods Gene Regulatory Networks Humans Medical sciences Metabolic Networks and Pathways Models, Biological Molecular Targeted Therapy Pharmacology. Drug treatments Precision Medicine - methods Signal Transduction Systems Biology Human Drug Development Early Research and development Network
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Summary:	Identification of novel targets is a critical first step in the drug discovery and development process. Most diseases such as cancer, metabolic disorders, and neurological disorders are complex, and their pathogenesis involves multiple genetic and environmental factors. Finding a viable drug target–drug combination with high potential for yielding clinical success within the efficacy–toxicity spectrum is extremely challenging. Many examples are now available in which network‐based approaches show potential for the identification of novel targets and for the repositioning of established targets. The objective of this article is to highlight network approaches for identifying novel targets with greater chances of gaining approved drugs with maximal efficacy and minimal side effects. Further enhancement of these approaches may emerge from effectively integrating computational systems biology with pharmacodynamic systems analysis. Coupling genomics, proteomics, and metabolomics databases with systems pharmacology modeling may aid in the development of disease‐specific networks that can be further used to build confidence in target identification. Clinical Pharmacology & Therapeutics (2013); 94 6, 651–658. doi:10.1038/clpt.2013.176
Bibliography:	ark:/67375/WNG-VR36HGV3-4 istex:7CD3BA5CC904C6F7C4B3D83B53854676107C986E ArticleID:CPTCLPT2013176 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-2
ISSN:	0009-9236 1532-6535
DOI:	10.1038/clpt.2013.176