Analyzing of Molecular Networks for Human Diseases and Drug Discovery

被引:10
作者
Hao, Tong [1 ]
Wang, Qian [1 ]
Zhao, Lingxuan [1 ]
Wu, Dan [1 ]
Wang, Edwin [1 ,2 ]
Sun, Jinsheng [1 ,3 ]
机构
[1] Tianjin Normal Univ, Coll Life Sci, Tianjin Key Lab Anim & Plant Resistance, Tianjin 300387, Peoples R China
[2] Univ Calgary, Cumming Sch Med, Calgary, AB T2N 4Z6, Canada
[3] Tianjin Bohai Fisheries Res Inst, Tianjin 300221, Peoples R China
基金
中国国家自然科学基金;
关键词
Protein-protein interaction network; Drug discovery; Network analysis; Sub-network biomarkers; Alzheimer's disease; Multiple sclerosis; PROTEIN-INTERACTION NETWORKS; GENOME-WIDE ASSOCIATION; CANCER SYSTEMS BIOLOGY; COMPLEX DISEASES; GENES; MEDICINE; PATHWAY; IDENTIFICATION; PREDICTION; MODULARITY;
D O I
10.2174/1568026618666180813143408
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Molecular networks represent the interactions and relations of genes/proteins, and also encode molecular mechanisms of biological processes, development and diseases. Among the molecular networks, protein-protein Interaction Networks (PINs) have become effective platforms for uncovering the molecular mechanisms of diseases and drug discovery. PINs have been constructed for various organisms and utilized to solve many biological problems. In human, most proteins present their complex functions by interactions with other proteins, and the sum of these interactions represents the human protein interactome. Especially in the research on human disease and drugs, as an emerging tool, the PIN provides a platform to systematically explore the molecular complexities of specific diseases and the references for drug design. In this review, we summarized the commonly used approaches to aid disease research and drug discovery with PINs, including the network topological analysis, identification of novel pathways, drug targets and sub-network biomarkers for diseases. With the development of bioinformatic techniques and biological networks, PINs will play an increasingly important role in human disease research and drug discovery.
引用
收藏
页码:1007 / 1014
页数:8
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