Network based Approach to Drug Discovery: A Mini Review

Author(s): Peng Li, Yingxue Fu, Yonghua Wang

Journal Name: Mini-Reviews in Medicinal Chemistry

Volume 15 , Issue 8 , 2015

Become EABM
Become Reviewer
Call for Editor


With the rapid development of high-throughput genomic technologies and the accumulation of genome-wide datasets for human disease, it has been shown that using only reductionistic principles has been difficult to capture the complex biological networks and design rational medication. However, the emerging paradigm of “network based methodology” proposes to harness the power of networks to uncover relationships between various data types of interest for drug discovery. Recent advances include networks that encompass relationships between drugs, disease-related genes, therapeutic targets and diseases. It is shown how network techniques can help in the investigation of the mechanism of action of existing drugs, new molecules, or to identify novel disease genes and targets. We review how these different types of network analysis approaches facilitate drug discovery and their associated challenges. Some representative examples are reviewed to show that network analysis is a powerful, integrated, computational and experimental approach to improve the drug discovery process.

Keywords: Drug discovery, target identification, network analysis.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2015
Published on: 27 April, 2015
Page: [687 - 695]
Pages: 9
DOI: 10.2174/1389557515666150219143933
Price: $65

Article Metrics

PDF: 50