Drug target inference through pathway analysis of genomics data.
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.
Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA. haisu.ma@yale.edu
Haisu
H
Ma
Hongyu
H
Zhao
D055808:Drug Discovery; D023281:Genomics; D006801:Humans; D049490:Systems Biology