Network analyses in systems pharmacology

被引:364
作者
Berger, Seth I. [1 ]
Iyengar, Ravi [1 ]
机构
[1] Mt Sinai Sch Med, Dept Pharmacol & Syst Therapeut, New York, NY 10029 USA
基金
美国国家卫生研究院;
关键词
PROTEIN-INTERACTION NETWORK; DRUG TARGETS; SIGNALING NETWORK; IDENTIFICATION; CENTRALITY; PRIORITIZATION; ORGANIZATION; INTERACTOME; LISTS;
D O I
10.1093/bioinformatics/btp465
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Systems pharmacology is an emerging area of pharmacology which utilizes network analysis of drug action as one of its approaches. By considering drug actions and side effects in the context of the regulatory networks within which the drug targets and disease gene products function, network analysis promises to greatly increase our knowledge of the mechanisms underlying the multiple actions of drugs. Systems pharmacology can provide new approaches for drug discovery for complex diseases. The integrated approach used in systems pharmacology can allow for drug action to be considered in the context of the whole genome. Network-based studies are becoming an increasingly important tool in understanding the relationships between drug action and disease susceptibility genes. This review discusses how analysis of biological networks has contributed to the genesis of systems pharmacology and how these studies have improved global understanding of drug targets, suggested new targets and approaches for therapeutics, and provided a deeper understanding of the effects of drugs. Taken together, these types of analyses can lead to new therapeutic options while improving the safety and efficacy of existing medications.
引用
收藏
页码:2466 / 2472
页数:7
相关论文
共 49 条
[1]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[2]   Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases [J].
Berger, Seth I. ;
Posner, Jeremy M. ;
Ma'ayan, Avi .
BMC BIOINFORMATICS, 2007, 8 (1)
[3]   Design logic of a cannabinoid receptor signaling network that triggers neurite outgrowth [J].
Bromberg, Kenneth D. ;
Ma'ayan, Avi ;
Neves, Susana R. ;
Iyengar, Ravi .
SCIENCE, 2008, 320 (5878) :903-909
[4]   Disrupted in schizophrenia 1 interactome: evidence for the close connectivity of risk genes and a potential synaptic basis for schizophrenia [J].
Camargo, L. M. ;
Collura, V. ;
Rain, J-C ;
Mizuguchi, K. ;
Hermjakob, H. ;
Kerrien, S. ;
Bonnert, T. P. ;
Whiting, P. J. ;
Brandon, N. J. .
MOLECULAR PSYCHIATRY, 2007, 12 (01) :74-86
[5]   Drug target identification using side-effect similarity [J].
Campillos, Monica ;
Kuhn, Michael ;
Gavin, Anne-Claude ;
Jensen, Lars Juhl ;
Bork, Peer .
SCIENCE, 2008, 321 (5886) :263-266
[6]   Disease candidate gene identification and prioritization using protein interaction networks [J].
Chen, Jing ;
Aronow, Bruce J. ;
Jegga, Anil G. .
BMC BIOINFORMATICS, 2009, 10
[7]   Construction of a cancer-perturbed protein-protein interaction network for discovery of apoptosis drug targets [J].
Chu, Liang-Hui ;
Chen, Bor-Sen .
BMC SYSTEMS BIOLOGY, 2008, 2
[8]   A computational framework for the topological analysis and targeted disruption of signal transduction networks [J].
Dasika, Madhukar S. ;
Burgard, Anthony ;
Maranas, Costas D. .
BIOPHYSICAL JOURNAL, 2006, 91 (01) :382-398
[9]   Estimating novel potential drug targets of Plasmodium falciparum by analysing the metabolic network of knock-out strains in silico [J].
Fatumo, Segun ;
Plaimas, Kitiporn ;
Mallm, Jan-Philipp ;
Schramm, Gunnar ;
Adebiyi, Ezekiel ;
Oswald, Marcus ;
Eils, Roland ;
Koenig, Rainer .
INFECTION GENETICS AND EVOLUTION, 2009, 9 (03) :351-358
[10]   The human disease network [J].
Goh, Kwang-Il ;
Cusick, Michael E. ;
Valle, David ;
Childs, Barton ;
Vidal, Marc ;
Barabasi, Albert-Laszlo .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (21) :8685-8690