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A Network‐Heuristic Approach to Improve the Impact of Genomic Data on Drug Discovery
Author(s) -
Trister A D,
Huang E S
Publication year - 2013
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1038/clpt.2012.246
Subject(s) - clinical pharmacology , drug discovery , identification (biology) , clinical trial , computer science , computational biology , drug , drug development , data science , medicine , intensive care medicine , bioinformatics , risk analysis (engineering) , pharmacology , biology , botany
The explosive growth of molecular diagnostic tests introduces the possibility of increasing our understanding of disease mechanisms in the clinic and promises to improve target identification for new therapies. A new paradigm is emerging in drug discovery that is driven by these clinically derived data. Unfortunately, the translation of novel insights into useful therapies remains costly and difficult. New clinical trial design and open validation of markers may reduce these barriers to clinical utility. Clinical Pharmacology & Therapeutics (2013); 93 4, 295–297. doi: 10.1038/clpt.2012.246