| Literature DB >> 23369829 |
Abstract
Statistical modeling coupled with bioinformatics is commonly used for drug discovery. Although there exist many approaches for single target based drug design and target inference, recent years have seen a paradigm shift to system-level pharmacological research. Pathway analysis of genomics data represents one promising direction for computational inference of drug targets. This article aims at providing a comprehensive review on the evolving issues in this field, covering methodological developments, their pros and cons, as well as future research directions.Entities:
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Year: 2013 PMID: 23369829 PMCID: PMC3672337 DOI: 10.1016/j.addr.2012.12.004
Source DB: PubMed Journal: Adv Drug Deliv Rev ISSN: 0169-409X Impact factor: 15.470